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--- |
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language: |
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- en |
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license: gemma |
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library_name: transformers |
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tags: |
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- chat |
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pipeline_tag: text-generation |
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model-index: |
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- name: magnum-v4-27b |
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results: |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: IFEval (0-Shot) |
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type: HuggingFaceH4/ifeval |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: inst_level_strict_acc and prompt_level_strict_acc |
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value: 34.54 |
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name: strict accuracy |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=anthracite-org/magnum-v4-27b |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: BBH (3-Shot) |
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type: BBH |
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args: |
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num_few_shot: 3 |
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metrics: |
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- type: acc_norm |
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value: 40.96 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=anthracite-org/magnum-v4-27b |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: MATH Lvl 5 (4-Shot) |
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type: hendrycks/competition_math |
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args: |
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num_few_shot: 4 |
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metrics: |
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- type: exact_match |
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value: 16.16 |
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name: exact match |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=anthracite-org/magnum-v4-27b |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: GPQA (0-shot) |
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type: Idavidrein/gpqa |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: acc_norm |
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value: 16.0 |
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name: acc_norm |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=anthracite-org/magnum-v4-27b |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: MuSR (0-shot) |
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type: TAUR-Lab/MuSR |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: acc_norm |
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value: 12.82 |
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name: acc_norm |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=anthracite-org/magnum-v4-27b |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: MMLU-PRO (5-shot) |
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type: TIGER-Lab/MMLU-Pro |
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config: main |
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split: test |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 37.51 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=anthracite-org/magnum-v4-27b |
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name: Open LLM Leaderboard |
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--- |
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This is a series of models designed to replicate the prose quality of the Claude 3 models, specifically Sonnet and Opus. |
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This model is fine-tuned on top of [Gemma 27b (chatML'ified)](https://huggingface.co/IntervitensInc/gemma-2-27b-chatml). |
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## Prompting |
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A typical input would look like this: |
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```py |
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<|im_start|>system |
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system prompt<|im_end|> |
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<|im_start|>user |
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Hi there!<|im_end|> |
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<|im_start|>assistant |
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Nice to meet you!<|im_end|> |
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<|im_start|>user |
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Can I ask a question?<|im_end|> |
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<|im_start|>assistant |
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``` |
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## SillyTavern templates |
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Below are Instruct and Context templates for use within SillyTavern. |
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<details><summary>context template</summary> |
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```yaml |
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{ |
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"story_string": "<|im_start|>system\n{{#if system}}{{system}}\n{{/if}}{{#if wiBefore}}{{wiBefore}}\n{{/if}}{{#if description}}{{description}}\n{{/if}}{{#if personality}}{{char}}'s personality: {{personality}}\n{{/if}}{{#if scenario}}Scenario: {{scenario}}\n{{/if}}{{#if wiAfter}}{{wiAfter}}\n{{/if}}{{#if persona}}{{persona}}\n{{/if}}{{trim}}<|im_end|>\n", |
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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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"always_force_name2": true, |
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"trim_sentences": false, |
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"include_newline": false, |
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"single_line": false, |
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"name": "Magnum ChatML" |
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} |
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``` |
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</details><br> |
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<details><summary>instruct template</summary> |
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```yaml |
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{ |
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"system_prompt": "Currently, your role is {{char}}, described in detail below. As {{char}}, continue the narrative exchange with {{user}}.\n\n<Guidelines>\n• Maintain the character persona but allow it to evolve with the story.\n• Be creative and proactive. Drive the story forward, introducing plotlines and events when relevant.\n• All types of outputs are encouraged; respond accordingly to the narrative.\n• Include dialogues, actions, and thoughts in each response.\n• Utilize all five senses to describe scenarios within {{char}}'s dialogue.\n• Use emotional symbols such as "!" and "~" in appropriate contexts.\n• Incorporate onomatopoeia when suitable.\n• Allow time for {{user}} to respond with their own input, respecting their agency.\n• Act as secondary characters and NPCs as needed, and remove them when appropriate.\n• When prompted for an Out of Character [OOC:] reply, answer neutrally and in plaintext, not as {{char}}.\n</Guidelines>\n\n<Forbidden>\n• Using excessive literary embellishments and purple prose unless dictated by {{char}}'s persona.\n• Writing for, speaking, thinking, acting, or replying as {{user}} in your response.\n• Repetitive and monotonous outputs.\n• Positivity bias in your replies.\n• Being overly extreme or NSFW when the narrative context is inappropriate.\n</Forbidden>\n\nFollow the instructions in <Guidelines></Guidelines>, avoiding the items listed in <Forbidden></Forbidden>.", |
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"input_sequence": "<|im_start|>user\n", |
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"output_sequence": "<|im_start|>assistant\n", |
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"last_output_sequence": "", |
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"system_sequence": "<|im_start|>system\n", |
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"stop_sequence": "<|im_end|>", |
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"wrap": false, |
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"macro": true, |
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"names": true, |
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"names_force_groups": true, |
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"activation_regex": "", |
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"system_sequence_prefix": "", |
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"system_sequence_suffix": "", |
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"first_output_sequence": "", |
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"skip_examples": false, |
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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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"system_same_as_user": false, |
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"last_system_sequence": "", |
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"name": "Magnum ChatML" |
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} |
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``` |
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</details><br> |
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## Axolotl config |
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<details><summary>See axolotl config</summary> |
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```yaml |
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base_model: IntervitensInc/gemma-2-27b-chatml |
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model_type: AutoModelForCausalLM |
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tokenizer_type: AutoTokenizer |
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hub_model_id: anthracite-org/magnum-v4-27b-r1 |
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hub_strategy: "all_checkpoints" |
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push_dataset_to_hub: |
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hf_use_auth_token: true |
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plugins: |
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- axolotl.integrations.liger.LigerPlugin |
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liger_cross_entropy: true |
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#liger_rope: true |
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#liger_rms_norm: true |
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#liger_swiglu: true |
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#liger_fused_linear_cross_entropy: true |
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load_in_8bit: false |
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load_in_4bit: false |
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strict: false |
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datasets: |
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- path: anthracite-org/c2_logs_16k_llama_v1.1 |
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type: sharegpt |
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conversation: chatml |
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- path: NewEden/Claude-Instruct-5K |
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type: sharegpt |
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conversation: chatml |
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- path: anthracite-org/kalo-opus-instruct-22k-no-refusal |
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type: sharegpt |
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conversation: chatml |
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- path: Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned |
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type: sharegpt |
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conversation: chatml |
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- path: lodrick-the-lafted/kalo-opus-instruct-3k-filtered |
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type: sharegpt |
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conversation: chatml |
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- path: anthracite-org/nopm_claude_writing_fixed |
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type: sharegpt |
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conversation: chatml |
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- path: Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned |
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type: sharegpt |
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conversation: chatml |
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- path: anthracite-org/kalo_opus_misc_240827 |
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type: sharegpt |
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conversation: chatml |
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- path: anthracite-org/kalo_misc_part2 |
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type: sharegpt |
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conversation: chatml |
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chat_template: chatml |
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shuffle_merged_datasets: true |
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default_system_message: "You are an assistant that responds to the user." |
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dataset_prepared_path: /workspace/data/27-fft-data |
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val_set_size: 0.0 |
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output_dir: /workspace/data/27b-fft-out |
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sequence_len: 8192 |
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sample_packing: true |
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eval_sample_packing: false |
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pad_to_sequence_len: true |
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adapter: |
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lora_model_dir: |
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lora_r: |
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lora_alpha: |
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lora_dropout: |
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lora_target_linear: |
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lora_fan_in_fan_out: |
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wandb_project: 27b-nemo-config-fft |
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wandb_entity: |
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wandb_watch: |
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wandb_name: attempt-01 |
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wandb_log_model: |
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gradient_accumulation_steps: 8 |
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micro_batch_size: 1 |
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num_epochs: 4 |
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optimizer: paged_adamw_8bit |
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lr_scheduler: cosine |
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learning_rate: 0.00001 |
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train_on_inputs: false |
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group_by_length: false |
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bf16: auto |
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fp16: |
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tf32: false |
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gradient_checkpointing: true |
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early_stopping_patience: |
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auto_resume_from_checkpoints: true |
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local_rank: |
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logging_steps: 1 |
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xformers_attention: |
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flash_attention: true |
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warmup_steps: 10 |
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evals_per_epoch: |
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eval_table_size: |
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eval_max_new_tokens: |
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saves_per_epoch: 2 |
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debug: |
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deepspeed: deepspeed_configs/zero3_bf16.json |
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weight_decay: 0.01 |
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fsdp: |
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fsdp_config: |
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special_tokens: |
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pad_token: <pad> |
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``` |
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</details><br> |
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## Credits |
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We'd like to thank Recursal / Featherless for sponsoring the compute for this train, Featherless has been hosting our Magnum models since the first 72 B and has given thousands of people access to our models and helped us grow. |
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We would also like to thank all members of Anthracite who made this finetune possible. |
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## Datasets |
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- [anthracite-org/c2_logs_16k_llama_v1.1](https://huggingface.co/datasets/anthracite-org/c2_logs_16k_llama_v1.1) |
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- [NewEden/Claude-Instruct-5K](https://huggingface.co/datasets/NewEden/Claude-Instruct-5K) |
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- [anthracite-org/kalo-opus-instruct-22k-no-refusal](https://huggingface.co/datasets/anthracite-org/kalo-opus-instruct-22k-no-refusal) |
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- [Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned](https://huggingface.co/datasets/Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned) |
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- [lodrick-the-lafted/kalo-opus-instruct-3k-filtered](https://huggingface.co/datasets/lodrick-the-lafted/kalo-opus-instruct-3k-filtered) |
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- [anthracite-org/nopm_claude_writing_fixed](https://huggingface.co/datasets/anthracite-org/nopm_claude_writing_fixed) |
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- [Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned](https://huggingface.co/datasets/Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned) |
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- [anthracite-org/kalo_opus_misc_240827](https://huggingface.co/datasets/anthracite-org/kalo_opus_misc_240827) |
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- [anthracite-org/kalo_misc_part2](https://huggingface.co/datasets/anthracite-org/kalo_misc_part2) |
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## Training |
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The training was done for 2 epochs. We used 8x[H100s](https://www.nvidia.com/en-us/data-center/h100/) GPUs graciously provided by [Recursal AI](https://recursal.ai/) / [Featherless AI](https://featherless.ai/) for the full-parameter fine-tuning of the model. |
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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl) |
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## Safety |
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... |
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) |
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_anthracite-org__magnum-v4-27b) |
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| Metric |Value| |
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|-------------------|----:| |
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|Avg. |26.33| |
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|IFEval (0-Shot) |34.54| |
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|BBH (3-Shot) |40.96| |
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|MATH Lvl 5 (4-Shot)|16.16| |
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|GPQA (0-shot) |16.00| |
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|MuSR (0-shot) |12.82| |
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|MMLU-PRO (5-shot) |37.51| |
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