Add files using upload-large-folder tool
Browse files- .gitattributes +1 -0
- EV01.json +143 -0
- LICENSE +0 -0
- README.md +45 -0
- added_tokens.json +24 -0
- config.json +39 -0
- config.yml +212 -0
- generation_config.json +7 -0
- measurement.json +0 -0
- merges.txt +0 -0
- model.safetensors.index.json +970 -0
- output-00001-of-00006.safetensors +3 -0
- output-00002-of-00006.safetensors +3 -0
- output-00003-of-00006.safetensors +3 -0
- output-00004-of-00006.safetensors +3 -0
- output-00005-of-00006.safetensors +3 -0
- output-00006-of-00006.safetensors +3 -0
- special_tokens_map.json +31 -0
- tokenizer.json +0 -0
- tokenizer_config.json +207 -0
- vocab.json +0 -0
.gitattributes
CHANGED
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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EV01.json
ADDED
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@@ -0,0 +1,143 @@
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{
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"instruct": {
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"wrap": false,
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"system_sequence": "<|im_start|>system\n",
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"stop_sequence": "<|im_end|>",
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"input_sequence": "<|im_start|>user\n",
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"output_sequence": "<|im_start|>assistant\n",
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"macro": true,
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"system_sequence_prefix": "",
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"system_sequence_suffix": "",
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"first_output_sequence": "\n<|im_start|>user\nAdhering to the `Role-playing Guidelines` is crucial for a successful role-play experience.\nUse the `Role-play Context` for accurate information.\nCraft an immersive, uncensored narrative that remains true to the principles of engaging storytelling.<|im_end|>\n<|im_start|>assistant\n",
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"last_output_sequence": "",
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"activation_regex": "",
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"skip_examples": true,
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"output_suffix": "<|im_end|>\n",
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"input_suffix": "<|im_end|>\n",
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"system_suffix": "<|im_end|>\n",
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"user_alignment_message": "",
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"last_system_sequence": "",
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"system_same_as_user": false,
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"first_input_sequence": "",
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"last_input_sequence": "",
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"names_behavior": "always",
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"names_force_groups": true,
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"name": "[ChatML]Roleplay-v1.9"
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},
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"context": {
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"story_string": "<|im_start|>system\n\n{{#if system}}{{system}}\n\n\n<!-- Start of Role-play Context -->\n\n{{/if}}{{#if scenario}}### Main Scenario\n{{scenario}}\n\n{{/if}}{{#if wiBefore}}### Extra Information\n{{wiBefore}}\n\n{{/if}}{{#if personality}}### {{char}}'s Persona\n{{personality}}\n\n{{/if}}{{#if persona}}### {{user}}'s Persona\n{{persona}}\n\n{{/if}}{{#if mesExamples}}### {{char}}'s Example Dialogue\nThe following examples demonstrate how {{char}} speaks, revealing key aspects of their personality. Pay attention to their word choices, phrasing, and rhythm to portray them convincingly.\n\n<!-- Start of {{char}}'s Example Dialogue -->\n{{mesExamples}}\n<!-- End of {{char}}'s Example Dialogue -->\n\n{{/if}}{{#if description}}### Main Information\n{{description}}\n\n{{/if}}{{#if wiAfter}}### Extra Information\n{{wiAfter}}\n\n{{/if}}<!-- End of Role-play Context --><|im_end|>",
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"example_separator": "",
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"chat_start": "",
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"use_stop_strings": false,
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"allow_jailbreak": false,
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"names_as_stop_strings": true,
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"always_force_name2": true,
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"trim_sentences": false,
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"single_line": false,
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"name": "[ChatML] Roleplay-v1.9"
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},
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"sysprompt": {
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"name": "[Migrated] [ChatML]Roleplay-v1.9",
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"content": "A fictional, narrative-driven role-play emphasizing versatility and UNCENSORED content. Adherence to the `Role-playing Guidelines` is mandatory. Refer to the `Role-play Context` for accurate information.\n\n\n<!-- Start of Role-playing Guidelines -->\n\n### Narration\nConcise Descriptions: Keep narration short and to the point, avoiding redundant unnecessary details. Use a dynamic and varied vocabulary for impact.\nComplementary Role: Use narration to complement dialogue and action, not overshadow them.\nAvoid Repetition: Ensure narration does not repeat information already conveyed through dialogue or action.\n\n### Narrative Consistency\nContinuity: Adhere to established story elements, expanding without contradicting previous details.\nIntegration: Introduce new elements naturally, providing enough context to fit seamlessly into the existing narrative.\n\n### Character Embodiment\nAnalysis: Examine the context, subtext, and implications of the given information to gain a deeper understandings of the characters'.\nReflection: Take time to consider the situation, characters' motivations, and potential consequences.\nAuthentic Portrayal: Bring characters to life by consistently and realistically portraying their unique traits, thoughts, emotions, appearances, physical sensations, speech patterns, and tone. Ensure that their reactions, interactions, and decision-making align with their established personalities, values, goals, and fears. Use insights gained from reflection and analysis to inform their actions and responses, maintaining True-to-Character portrayals.\n\n<!-- End of Role-playing Guidelines -->"
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},
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"preset": {
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"temp": 0.8,
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| 45 |
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"temperature_last": true,
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| 46 |
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"top_p": 1,
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| 47 |
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"top_k": 0,
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"top_a": 0.3,
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| 49 |
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"tfs": 1,
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| 50 |
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"epsilon_cutoff": 0,
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| 51 |
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"eta_cutoff": 0,
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| 52 |
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"typical_p": 1,
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"min_p": 0.05,
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"rep_pen": 1.03,
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"rep_pen_range": 0,
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"rep_pen_decay": 0,
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"rep_pen_slope": 1,
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"no_repeat_ngram_size": 0,
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"penalty_alpha": 0,
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"num_beams": 1,
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"length_penalty": 1,
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| 62 |
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"min_length": 0,
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| 63 |
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"encoder_rep_pen": 1,
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"freq_pen": 0,
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"presence_pen": 0,
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| 66 |
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"skew": 0,
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| 67 |
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"do_sample": true,
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"early_stopping": false,
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| 69 |
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"dynatemp": false,
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| 70 |
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"min_temp": 0,
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| 71 |
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"max_temp": 2,
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"dynatemp_exponent": 1,
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"smoothing_factor": 0,
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| 74 |
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"smoothing_curve": 1,
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| 75 |
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"dry_allowed_length": 2,
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| 76 |
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"dry_multiplier": 0,
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| 77 |
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"dry_base": 1.75,
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| 78 |
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"dry_sequence_breakers": "[\"\\n\", \":\", \"\\\"\", \"*\"]",
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| 79 |
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"dry_penalty_last_n": 0,
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| 80 |
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"add_bos_token": true,
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| 81 |
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"ban_eos_token": false,
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| 82 |
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"skip_special_tokens": false,
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| 83 |
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"mirostat_mode": 0,
|
| 84 |
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"mirostat_tau": 5,
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| 85 |
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"mirostat_eta": 0.1,
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| 86 |
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"guidance_scale": 1,
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| 87 |
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"negative_prompt": "",
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| 88 |
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"grammar_string": "",
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"json_schema": {},
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| 90 |
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"banned_tokens": "",
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| 91 |
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"sampler_priority": [
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"repetition_penalty",
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"presence_penalty",
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"frequency_penalty",
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"dry",
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"temperature",
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"dynamic_temperature",
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"quadratic_sampling",
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"top_k",
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"top_p",
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"typical_p",
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"epsilon_cutoff",
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"eta_cutoff",
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"tfs",
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"top_a",
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"min_p",
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"mirostat",
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"xtc",
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| 109 |
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"encoder_repetition_penalty",
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| 110 |
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"no_repeat_ngram"
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| 111 |
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],
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| 112 |
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"samplers": [
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| 113 |
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"top_k",
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| 114 |
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"tfs_z",
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| 115 |
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"typical_p",
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| 116 |
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"top_p",
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"min_p",
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"xtc",
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| 119 |
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"temperature"
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| 120 |
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],
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| 121 |
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"ignore_eos_token": false,
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| 122 |
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"spaces_between_special_tokens": true,
|
| 123 |
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"speculative_ngram": false,
|
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"sampler_order": [
|
| 125 |
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6,
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| 126 |
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0,
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1,
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3,
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2,
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5
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],
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| 133 |
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"logit_bias": [],
|
| 134 |
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"xtc_threshold": 0.1,
|
| 135 |
+
"xtc_probability": 0,
|
| 136 |
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"ignore_eos_token_aphrodite": false,
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| 137 |
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"spaces_between_special_tokens_aphrodite": true,
|
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"rep_pen_size": 0,
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| 139 |
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"genamt": 1024,
|
| 140 |
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"max_length": 16384,
|
| 141 |
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"name": "Eva Stable"
|
| 142 |
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}
|
| 143 |
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}
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LICENSE
ADDED
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File without changes
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README.md
ADDED
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| 1 |
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---
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| 2 |
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license: other
|
| 3 |
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library_name: transformers
|
| 4 |
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tags:
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| 5 |
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- generated_from_trainer
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| 6 |
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base_model: Qwen/Qwen2.5-72B
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| 7 |
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datasets:
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| 8 |
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- anthracite-org/kalo-opus-instruct-22k-no-refusal
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| 9 |
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- Nopm/Opus_WritingStruct
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| 10 |
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- Gryphe/Sonnet3.5-SlimOrcaDedupCleaned
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| 11 |
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- Gryphe/Sonnet3.5-Charcard-Roleplay
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| 12 |
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- Gryphe/ChatGPT-4o-Writing-Prompts
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| 13 |
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- Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned
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| 14 |
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- Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned
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| 15 |
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- nothingiisreal/Reddit-Dirty-And-WritingPrompts
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| 16 |
+
- allura-org/Celeste-1.x-data-mixture
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| 17 |
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- cognitivecomputations/dolphin-2.9.3
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| 18 |
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license_name: qwen
|
| 19 |
+
license_link: https://huggingface.co/Qwen/Qwen2.5-72B-Instruct/blob/main/LICENSE
|
| 20 |
+
model-index:
|
| 21 |
+
- name: EVA-Qwen2.5-72B-SFFT-v0.2
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| 22 |
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results: []
|
| 23 |
+
---
|
| 24 |
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| 25 |
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| 26 |
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| 27 |
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Quantized model => https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-72B-v0.2
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| 28 |
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| 29 |
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**Quantization Details:**
|
| 30 |
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Quantization is done using turboderp's ExLlamaV2 v0.2.4.
|
| 31 |
+
|
| 32 |
+
I use the default calibration datasets and arguments. The repo also includes a "measurement.json" file, which was used during the quantization process.
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| 33 |
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| 34 |
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For models with bits per weight (BPW) over 6.0, I default to quantizing the `lm_head` layer at 8 bits instead of the standard 6 bits.
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| 35 |
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| 37 |
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| 38 |
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---
|
| 39 |
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| 40 |
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**Who are you? What's with these weird BPWs on [insert model here]?**
|
| 41 |
+
I specialize in optimized EXL2 quantization for models in the 70B to 100B+ range, specifically tailored for 48GB VRAM setups. My rig is built using 2 x 3090s with a Ryzen APU (APU used solely for desktop output—no VRAM wasted on the 3090s). I use TabbyAPI for inference, targeting context sizes between 32K and 64K.
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| 42 |
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|
| 43 |
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Every model I upload includes a `config.yml` file with my ideal TabbyAPI settings. If you're using my config, don’t forget to set `PYTORCH_CUDA_ALLOC_CONF=backend:cudaMallocAsync` to save some VRAM.
|
| 44 |
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added_tokens.json
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{
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"</tool_call>": 151658,
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"<tool_call>": 151657,
|
| 4 |
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"<|box_end|>": 151649,
|
| 5 |
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"<|box_start|>": 151648,
|
| 6 |
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"<|endoftext|>": 151643,
|
| 7 |
+
"<|file_sep|>": 151664,
|
| 8 |
+
"<|fim_middle|>": 151660,
|
| 9 |
+
"<|fim_pad|>": 151662,
|
| 10 |
+
"<|fim_prefix|>": 151659,
|
| 11 |
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"<|fim_suffix|>": 151661,
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| 12 |
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"<|im_end|>": 151645,
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| 13 |
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"<|im_start|>": 151644,
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| 14 |
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"<|image_pad|>": 151655,
|
| 15 |
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"<|object_ref_end|>": 151647,
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| 16 |
+
"<|object_ref_start|>": 151646,
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| 17 |
+
"<|quad_end|>": 151651,
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| 18 |
+
"<|quad_start|>": 151650,
|
| 19 |
+
"<|repo_name|>": 151663,
|
| 20 |
+
"<|video_pad|>": 151656,
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| 21 |
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"<|vision_end|>": 151653,
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| 22 |
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"<|vision_pad|>": 151654,
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| 23 |
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"<|vision_start|>": 151652
|
| 24 |
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}
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config.json
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "Qwen/Qwen2.5-72B",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"Qwen2ForCausalLM"
|
| 5 |
+
],
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"eos_token_id": 151643,
|
| 8 |
+
"hidden_act": "silu",
|
| 9 |
+
"hidden_size": 8192,
|
| 10 |
+
"initializer_range": 0.02,
|
| 11 |
+
"intermediate_size": 29568,
|
| 12 |
+
"max_position_embeddings": 131072,
|
| 13 |
+
"max_window_layers": 80,
|
| 14 |
+
"model_type": "qwen2",
|
| 15 |
+
"num_attention_heads": 64,
|
| 16 |
+
"num_hidden_layers": 80,
|
| 17 |
+
"num_key_value_heads": 8,
|
| 18 |
+
"rms_norm_eps": 1e-05,
|
| 19 |
+
"rope_scaling": null,
|
| 20 |
+
"rope_theta": 1000000.0,
|
| 21 |
+
"sliding_window": null,
|
| 22 |
+
"tie_word_embeddings": false,
|
| 23 |
+
"torch_dtype": "bfloat16",
|
| 24 |
+
"transformers_version": "4.45.1",
|
| 25 |
+
"use_cache": false,
|
| 26 |
+
"use_sliding_window": false,
|
| 27 |
+
"vocab_size": 152064,
|
| 28 |
+
"quantization_config": {
|
| 29 |
+
"quant_method": "exl2",
|
| 30 |
+
"version": "0.2.4",
|
| 31 |
+
"bits": 4.86,
|
| 32 |
+
"head_bits": 6,
|
| 33 |
+
"calibration": {
|
| 34 |
+
"rows": 115,
|
| 35 |
+
"length": 2048,
|
| 36 |
+
"dataset": "(default)"
|
| 37 |
+
}
|
| 38 |
+
}
|
| 39 |
+
}
|
config.yml
ADDED
|
@@ -0,0 +1,212 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Sample YAML file for configuration.
|
| 2 |
+
# Comment and uncomment values as needed.
|
| 3 |
+
# Every value has a default within the application.
|
| 4 |
+
# This file serves to be a drop in for config.yml
|
| 5 |
+
|
| 6 |
+
# Unless specified in the comments, DO NOT put these options in quotes!
|
| 7 |
+
# You can use https://www.yamllint.com/ if you want to check your YAML formatting.
|
| 8 |
+
|
| 9 |
+
# Options for networking
|
| 10 |
+
network:
|
| 11 |
+
# The IP to host on (default: 127.0.0.1).
|
| 12 |
+
# Use 0.0.0.0 to expose on all network adapters.
|
| 13 |
+
host: 0.0.0.0
|
| 14 |
+
|
| 15 |
+
# The port to host on (default: 5000).
|
| 16 |
+
port: 5000
|
| 17 |
+
|
| 18 |
+
# Disable HTTP token authentication with requests.
|
| 19 |
+
# WARNING: This will make your instance vulnerable!
|
| 20 |
+
# Turn on this option if you are ONLY connecting from localhost.
|
| 21 |
+
disable_auth: false
|
| 22 |
+
|
| 23 |
+
# Send tracebacks over the API (default: False).
|
| 24 |
+
# NOTE: Only enable this for debug purposes.
|
| 25 |
+
send_tracebacks: false
|
| 26 |
+
|
| 27 |
+
# Select API servers to enable (default: ["OAI"]).
|
| 28 |
+
# Possible values: OAI, Kobold.
|
| 29 |
+
api_servers: ["oai"]
|
| 30 |
+
|
| 31 |
+
# Options for logging
|
| 32 |
+
logging:
|
| 33 |
+
# Enable prompt logging (default: False).
|
| 34 |
+
log_prompt: false
|
| 35 |
+
|
| 36 |
+
# Enable generation parameter logging (default: False).
|
| 37 |
+
log_generation_params: false
|
| 38 |
+
|
| 39 |
+
# Enable request logging (default: False).
|
| 40 |
+
# NOTE: Only use this for debugging!
|
| 41 |
+
log_requests: false
|
| 42 |
+
|
| 43 |
+
# Options for model overrides and loading
|
| 44 |
+
# Please read the comments to understand how arguments are handled
|
| 45 |
+
# between initial and API loads
|
| 46 |
+
model:
|
| 47 |
+
# Directory to look for models (default: models).
|
| 48 |
+
# Windows users, do NOT put this path in quotes!
|
| 49 |
+
model_dir: models
|
| 50 |
+
|
| 51 |
+
# Allow direct loading of models from a completion or chat completion request (default: False).
|
| 52 |
+
inline_model_loading: false
|
| 53 |
+
|
| 54 |
+
# Sends dummy model names when the models endpoint is queried.
|
| 55 |
+
# Enable this if the client is looking for specific OAI models.
|
| 56 |
+
use_dummy_models: false
|
| 57 |
+
|
| 58 |
+
# An initial model to load.
|
| 59 |
+
# Make sure the model is located in the model directory!
|
| 60 |
+
# REQUIRED: This must be filled out to load a model on startup.
|
| 61 |
+
model_name: EVA-Qwen2.5-72B-v0.2_exl2_4.86bpw
|
| 62 |
+
|
| 63 |
+
# Names of args to use as a fallback for API load requests (default: []).
|
| 64 |
+
# For example, if you always want cache_mode to be Q4 instead of on the inital model load, add "cache_mode" to this array.
|
| 65 |
+
# Example: ['max_seq_len', 'cache_mode'].
|
| 66 |
+
use_as_default: []
|
| 67 |
+
|
| 68 |
+
# Max sequence length (default: Empty).
|
| 69 |
+
# Fetched from the model's base sequence length in config.json by default.
|
| 70 |
+
max_seq_len: 32768
|
| 71 |
+
|
| 72 |
+
# Overrides base model context length (default: Empty).
|
| 73 |
+
# WARNING: Don't set this unless you know what you're doing!
|
| 74 |
+
# Again, do NOT use this for configuring context length, use max_seq_len above ^
|
| 75 |
+
override_base_seq_len:
|
| 76 |
+
|
| 77 |
+
# Load model with tensor parallelism.
|
| 78 |
+
# Falls back to autosplit if GPU split isn't provided.
|
| 79 |
+
# This ignores the gpu_split_auto value.
|
| 80 |
+
tensor_parallel: false
|
| 81 |
+
|
| 82 |
+
# Automatically allocate resources to GPUs (default: True).
|
| 83 |
+
# Not parsed for single GPU users.
|
| 84 |
+
gpu_split_auto: true
|
| 85 |
+
|
| 86 |
+
# Reserve VRAM used for autosplit loading (default: 96 MB on GPU 0).
|
| 87 |
+
# Represented as an array of MB per GPU.
|
| 88 |
+
autosplit_reserve: [0]
|
| 89 |
+
|
| 90 |
+
# An integer array of GBs of VRAM to split between GPUs (default: []).
|
| 91 |
+
# Used with tensor parallelism.
|
| 92 |
+
gpu_split: []
|
| 93 |
+
|
| 94 |
+
# Rope scale (default: 1.0).
|
| 95 |
+
# Same as compress_pos_emb.
|
| 96 |
+
# Use if the model was trained on long context with rope.
|
| 97 |
+
# Leave blank to pull the value from the model.
|
| 98 |
+
rope_scale: 1.0
|
| 99 |
+
|
| 100 |
+
# Rope alpha (default: None).
|
| 101 |
+
# Same as alpha_value. Set to "auto" to auto-calculate.
|
| 102 |
+
# Leaving this value blank will either pull from the model or auto-calculate.
|
| 103 |
+
rope_alpha:
|
| 104 |
+
|
| 105 |
+
# Enable different cache modes for VRAM savings (default: FP16).
|
| 106 |
+
# Possible values: 'FP16', 'Q8', 'Q6', 'Q4'.
|
| 107 |
+
cache_mode: Q4
|
| 108 |
+
|
| 109 |
+
# Size of the prompt cache to allocate (default: max_seq_len).
|
| 110 |
+
# Must be a multiple of 256 and can't be less than max_seq_len.
|
| 111 |
+
# For CFG, set this to 2 * max_seq_len.
|
| 112 |
+
cache_size:
|
| 113 |
+
|
| 114 |
+
# Chunk size for prompt ingestion (default: 2048).
|
| 115 |
+
# A lower value reduces VRAM usage but decreases ingestion speed.
|
| 116 |
+
# NOTE: Effects vary depending on the model.
|
| 117 |
+
# An ideal value is between 512 and 4096.
|
| 118 |
+
chunk_size: 1280
|
| 119 |
+
|
| 120 |
+
# Set the maximum number of prompts to process at one time (default: None/Automatic).
|
| 121 |
+
# Automatically calculated if left blank.
|
| 122 |
+
# NOTE: Only available for Nvidia ampere (30 series) and above GPUs.
|
| 123 |
+
max_batch_size:
|
| 124 |
+
|
| 125 |
+
# Set the prompt template for this model. (default: None)
|
| 126 |
+
# If empty, attempts to look for the model's chat template.
|
| 127 |
+
# If a model contains multiple templates in its tokenizer_config.json,
|
| 128 |
+
# set prompt_template to the name of the template you want to use.
|
| 129 |
+
# NOTE: Only works with chat completion message lists!
|
| 130 |
+
prompt_template:
|
| 131 |
+
|
| 132 |
+
# Number of experts to use per token.
|
| 133 |
+
# Fetched from the model's config.json if empty.
|
| 134 |
+
# NOTE: For MoE models only.
|
| 135 |
+
# WARNING: Don't set this unless you know what you're doing!
|
| 136 |
+
num_experts_per_token:
|
| 137 |
+
|
| 138 |
+
# Enables fasttensors to possibly increase model loading speeds (default: False).
|
| 139 |
+
fasttensors: true
|
| 140 |
+
|
| 141 |
+
# Options for draft models (speculative decoding)
|
| 142 |
+
# This will use more VRAM!
|
| 143 |
+
draft_model:
|
| 144 |
+
# Directory to look for draft models (default: models)
|
| 145 |
+
draft_model_dir: models
|
| 146 |
+
|
| 147 |
+
# An initial draft model to load.
|
| 148 |
+
# Ensure the model is in the model directory.
|
| 149 |
+
draft_model_name:
|
| 150 |
+
|
| 151 |
+
# Rope scale for draft models (default: 1.0).
|
| 152 |
+
# Same as compress_pos_emb.
|
| 153 |
+
# Use if the draft model was trained on long context with rope.
|
| 154 |
+
draft_rope_scale: 1.0
|
| 155 |
+
|
| 156 |
+
# Rope alpha for draft models (default: None).
|
| 157 |
+
# Same as alpha_value. Set to "auto" to auto-calculate.
|
| 158 |
+
# Leaving this value blank will either pull from the model or auto-calculate.
|
| 159 |
+
draft_rope_alpha:
|
| 160 |
+
|
| 161 |
+
# Cache mode for draft models to save VRAM (default: FP16).
|
| 162 |
+
# Possible values: 'FP16', 'Q8', 'Q6', 'Q4'.
|
| 163 |
+
draft_cache_mode: FP16
|
| 164 |
+
|
| 165 |
+
# Options for Loras
|
| 166 |
+
lora:
|
| 167 |
+
# Directory to look for LoRAs (default: loras).
|
| 168 |
+
lora_dir: loras
|
| 169 |
+
|
| 170 |
+
# List of LoRAs to load and associated scaling factors (default scale: 1.0).
|
| 171 |
+
# For the YAML file, add each entry as a YAML list:
|
| 172 |
+
# - name: lora1
|
| 173 |
+
# scaling: 1.0
|
| 174 |
+
loras:
|
| 175 |
+
|
| 176 |
+
# Options for embedding models and loading.
|
| 177 |
+
# NOTE: Embeddings requires the "extras" feature to be installed
|
| 178 |
+
# Install it via "pip install .[extras]"
|
| 179 |
+
embeddings:
|
| 180 |
+
# Directory to look for embedding models (default: models).
|
| 181 |
+
embedding_model_dir: models
|
| 182 |
+
|
| 183 |
+
# Device to load embedding models on (default: cpu).
|
| 184 |
+
# Possible values: cpu, auto, cuda.
|
| 185 |
+
# NOTE: It's recommended to load embedding models on the CPU.
|
| 186 |
+
# If using an AMD GPU, set this value to 'cuda'.
|
| 187 |
+
embeddings_device: cpu
|
| 188 |
+
|
| 189 |
+
# An initial embedding model to load on the infinity backend.
|
| 190 |
+
embedding_model_name:
|
| 191 |
+
sampling:
|
| 192 |
+
|
| 193 |
+
# Options for development and experimentation
|
| 194 |
+
developer:
|
| 195 |
+
# Skip Exllamav2 version check (default: False).
|
| 196 |
+
# WARNING: It's highly recommended to update your dependencies rather than enabling this flag.
|
| 197 |
+
unsafe_launch: false
|
| 198 |
+
|
| 199 |
+
# Disable API request streaming (default: False).
|
| 200 |
+
disable_request_streaming: false
|
| 201 |
+
|
| 202 |
+
# Enable the torch CUDA malloc backend (default: False).
|
| 203 |
+
cuda_malloc_backend: true
|
| 204 |
+
|
| 205 |
+
# Run asyncio using Uvloop or Winloop which can improve performance.
|
| 206 |
+
# NOTE: It's recommended to enable this, but if something breaks turn this off.
|
| 207 |
+
uvloop: true
|
| 208 |
+
|
| 209 |
+
# Set process to use a higher priority.
|
| 210 |
+
# For realtime process priority, run as administrator or sudo.
|
| 211 |
+
# Otherwise, the priority will be set to high.
|
| 212 |
+
realtime_process_priority: true
|
generation_config.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 151643,
|
| 3 |
+
"do_sample": true,
|
| 4 |
+
"eos_token_id": 151643,
|
| 5 |
+
"max_new_tokens": 2048,
|
| 6 |
+
"transformers_version": "4.45.1"
|
| 7 |
+
}
|
measurement.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1,970 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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"add_prefix_space": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"151643": {
|
| 6 |
+
"content": "<|endoftext|>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"151644": {
|
| 14 |
+
"content": "<|im_start|>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"151645": {
|
| 22 |
+
"content": "<|im_end|>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
},
|
| 29 |
+
"151646": {
|
| 30 |
+
"content": "<|object_ref_start|>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"special": true
|
| 36 |
+
},
|
| 37 |
+
"151647": {
|
| 38 |
+
"content": "<|object_ref_end|>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"special": true
|
| 44 |
+
},
|
| 45 |
+
"151648": {
|
| 46 |
+
"content": "<|box_start|>",
|
| 47 |
+
"lstrip": false,
|
| 48 |
+
"normalized": false,
|
| 49 |
+
"rstrip": false,
|
| 50 |
+
"single_word": false,
|
| 51 |
+
"special": true
|
| 52 |
+
},
|
| 53 |
+
"151649": {
|
| 54 |
+
"content": "<|box_end|>",
|
| 55 |
+
"lstrip": false,
|
| 56 |
+
"normalized": false,
|
| 57 |
+
"rstrip": false,
|
| 58 |
+
"single_word": false,
|
| 59 |
+
"special": true
|
| 60 |
+
},
|
| 61 |
+
"151650": {
|
| 62 |
+
"content": "<|quad_start|>",
|
| 63 |
+
"lstrip": false,
|
| 64 |
+
"normalized": false,
|
| 65 |
+
"rstrip": false,
|
| 66 |
+
"single_word": false,
|
| 67 |
+
"special": true
|
| 68 |
+
},
|
| 69 |
+
"151651": {
|
| 70 |
+
"content": "<|quad_end|>",
|
| 71 |
+
"lstrip": false,
|
| 72 |
+
"normalized": false,
|
| 73 |
+
"rstrip": false,
|
| 74 |
+
"single_word": false,
|
| 75 |
+
"special": true
|
| 76 |
+
},
|
| 77 |
+
"151652": {
|
| 78 |
+
"content": "<|vision_start|>",
|
| 79 |
+
"lstrip": false,
|
| 80 |
+
"normalized": false,
|
| 81 |
+
"rstrip": false,
|
| 82 |
+
"single_word": false,
|
| 83 |
+
"special": true
|
| 84 |
+
},
|
| 85 |
+
"151653": {
|
| 86 |
+
"content": "<|vision_end|>",
|
| 87 |
+
"lstrip": false,
|
| 88 |
+
"normalized": false,
|
| 89 |
+
"rstrip": false,
|
| 90 |
+
"single_word": false,
|
| 91 |
+
"special": true
|
| 92 |
+
},
|
| 93 |
+
"151654": {
|
| 94 |
+
"content": "<|vision_pad|>",
|
| 95 |
+
"lstrip": false,
|
| 96 |
+
"normalized": false,
|
| 97 |
+
"rstrip": false,
|
| 98 |
+
"single_word": false,
|
| 99 |
+
"special": true
|
| 100 |
+
},
|
| 101 |
+
"151655": {
|
| 102 |
+
"content": "<|image_pad|>",
|
| 103 |
+
"lstrip": false,
|
| 104 |
+
"normalized": false,
|
| 105 |
+
"rstrip": false,
|
| 106 |
+
"single_word": false,
|
| 107 |
+
"special": true
|
| 108 |
+
},
|
| 109 |
+
"151656": {
|
| 110 |
+
"content": "<|video_pad|>",
|
| 111 |
+
"lstrip": false,
|
| 112 |
+
"normalized": false,
|
| 113 |
+
"rstrip": false,
|
| 114 |
+
"single_word": false,
|
| 115 |
+
"special": true
|
| 116 |
+
},
|
| 117 |
+
"151657": {
|
| 118 |
+
"content": "<tool_call>",
|
| 119 |
+
"lstrip": false,
|
| 120 |
+
"normalized": false,
|
| 121 |
+
"rstrip": false,
|
| 122 |
+
"single_word": false,
|
| 123 |
+
"special": false
|
| 124 |
+
},
|
| 125 |
+
"151658": {
|
| 126 |
+
"content": "</tool_call>",
|
| 127 |
+
"lstrip": false,
|
| 128 |
+
"normalized": false,
|
| 129 |
+
"rstrip": false,
|
| 130 |
+
"single_word": false,
|
| 131 |
+
"special": false
|
| 132 |
+
},
|
| 133 |
+
"151659": {
|
| 134 |
+
"content": "<|fim_prefix|>",
|
| 135 |
+
"lstrip": false,
|
| 136 |
+
"normalized": false,
|
| 137 |
+
"rstrip": false,
|
| 138 |
+
"single_word": false,
|
| 139 |
+
"special": false
|
| 140 |
+
},
|
| 141 |
+
"151660": {
|
| 142 |
+
"content": "<|fim_middle|>",
|
| 143 |
+
"lstrip": false,
|
| 144 |
+
"normalized": false,
|
| 145 |
+
"rstrip": false,
|
| 146 |
+
"single_word": false,
|
| 147 |
+
"special": false
|
| 148 |
+
},
|
| 149 |
+
"151661": {
|
| 150 |
+
"content": "<|fim_suffix|>",
|
| 151 |
+
"lstrip": false,
|
| 152 |
+
"normalized": false,
|
| 153 |
+
"rstrip": false,
|
| 154 |
+
"single_word": false,
|
| 155 |
+
"special": false
|
| 156 |
+
},
|
| 157 |
+
"151662": {
|
| 158 |
+
"content": "<|fim_pad|>",
|
| 159 |
+
"lstrip": false,
|
| 160 |
+
"normalized": false,
|
| 161 |
+
"rstrip": false,
|
| 162 |
+
"single_word": false,
|
| 163 |
+
"special": false
|
| 164 |
+
},
|
| 165 |
+
"151663": {
|
| 166 |
+
"content": "<|repo_name|>",
|
| 167 |
+
"lstrip": false,
|
| 168 |
+
"normalized": false,
|
| 169 |
+
"rstrip": false,
|
| 170 |
+
"single_word": false,
|
| 171 |
+
"special": false
|
| 172 |
+
},
|
| 173 |
+
"151664": {
|
| 174 |
+
"content": "<|file_sep|>",
|
| 175 |
+
"lstrip": false,
|
| 176 |
+
"normalized": false,
|
| 177 |
+
"rstrip": false,
|
| 178 |
+
"single_word": false,
|
| 179 |
+
"special": false
|
| 180 |
+
}
|
| 181 |
+
},
|
| 182 |
+
"additional_special_tokens": [
|
| 183 |
+
"<|im_start|>",
|
| 184 |
+
"<|im_end|>",
|
| 185 |
+
"<|object_ref_start|>",
|
| 186 |
+
"<|object_ref_end|>",
|
| 187 |
+
"<|box_start|>",
|
| 188 |
+
"<|box_end|>",
|
| 189 |
+
"<|quad_start|>",
|
| 190 |
+
"<|quad_end|>",
|
| 191 |
+
"<|vision_start|>",
|
| 192 |
+
"<|vision_end|>",
|
| 193 |
+
"<|vision_pad|>",
|
| 194 |
+
"<|image_pad|>",
|
| 195 |
+
"<|video_pad|>"
|
| 196 |
+
],
|
| 197 |
+
"bos_token": null,
|
| 198 |
+
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
| 199 |
+
"clean_up_tokenization_spaces": false,
|
| 200 |
+
"eos_token": "<|endoftext|>",
|
| 201 |
+
"errors": "replace",
|
| 202 |
+
"model_max_length": 131072,
|
| 203 |
+
"pad_token": "<|endoftext|>",
|
| 204 |
+
"split_special_tokens": false,
|
| 205 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 206 |
+
"unk_token": null
|
| 207 |
+
}
|
vocab.json
ADDED
|
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|
|
|