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Zoyd
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flammenai_Mahou-1.2-phi-14B-6_5bpw_exl2

Text Generation
Transformers
Safetensors
phi3
conversational
custom_code
text-generation-inference
Inference Endpoints
exl2
Model card Files Community
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Files changed (11) hide show
  1. README.md +133 -0
  2. added_tokens.json +13 -0
  3. config.json +181 -0
  4. generation_config.json +11 -0
  5. model.safetensors.index.json +250 -0
  6. output-00001-of-00002.safetensors +3 -0
  7. output-00002-of-00002.safetensors +3 -0
  8. special_tokens_map.json +30 -0
  9. tokenizer.json +0 -0
  10. tokenizer.model +3 -0
  11. tokenizer_config.json +129 -0
README.md ADDED
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1
+ ---
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+ library_name: transformers
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+ license: apache-2.0
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+ base_model:
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+ - microsoft/Phi-3-medium-128k-instruct
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+ datasets:
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+ - flammenai/FlameMix-DPO-v1
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+ - flammenai/Grill-preprod-v1_chatML
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+ - flammenai/Grill-preprod-v2_chatML
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+ ---
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+ **Exllamav2** quant (**exl2** / **6.5 bpw**) made with ExLlamaV2 v0.0.21
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+
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+ Other EXL2 quants:
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+ | **Quant** | **Model Size** | **lm_head** |
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+ | ----- | ---------- | ------- |
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+ |<center>**[2.2](https://huggingface.co/Zoyd/flammenai_Mahou-1.2-phi-14B-2_2bpw_exl2)**</center> | <center>4032 MB</center> | <center>6</center> |
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+ |<center>**[2.5](https://huggingface.co/Zoyd/flammenai_Mahou-1.2-phi-14B-2_5bpw_exl2)**</center> | <center>4485 MB</center> | <center>6</center> |
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+ |<center>**[3.0](https://huggingface.co/Zoyd/flammenai_Mahou-1.2-phi-14B-3_0bpw_exl2)**</center> | <center>5312 MB</center> | <center>6</center> |
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+ |<center>**[3.5](https://huggingface.co/Zoyd/flammenai_Mahou-1.2-phi-14B-3_5bpw_exl2)**</center> | <center>6116 MB</center> | <center>6</center> |
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+ |<center>**[3.75](https://huggingface.co/Zoyd/flammenai_Mahou-1.2-phi-14B-3_75bpw_exl2)**</center> | <center>6526 MB</center> | <center>6</center> |
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+ |<center>**[4.0](https://huggingface.co/Zoyd/flammenai_Mahou-1.2-phi-14B-4_0bpw_exl2)**</center> | <center>6936 MB</center> | <center>6</center> |
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+ |<center>**[4.25](https://huggingface.co/Zoyd/flammenai_Mahou-1.2-phi-14B-4_25bpw_exl2)**</center> | <center>7312 MB</center> | <center>6</center> |
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+ |<center>**[5.0](https://huggingface.co/Zoyd/flammenai_Mahou-1.2-phi-14B-5_0bpw_exl2)**</center> | <center>8559 MB</center> | <center>6</center> |
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+ |<center>**[6.0](https://huggingface.co/Zoyd/flammenai_Mahou-1.2-phi-14B-6_0bpw_exl2)**</center> | <center>10220 MB</center> | <center>8</center> |
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+ |<center>**[6.5](https://huggingface.co/Zoyd/flammenai_Mahou-1.2-phi-14B-6_5bpw_exl2)**</center> | <center>11013 MB</center> | <center>8</center> |
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+ |<center>**[8.0](https://huggingface.co/Zoyd/flammenai_Mahou-1.2-phi-14B-8_0bpw_exl2)**</center> | <center>12726 MB</center> | <center>8</center> |
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+
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+ ![image/png](https://huggingface.co/flammenai/Mahou-1.0-mistral-7B/resolve/main/mahou1.png)
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+
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+ # Mahou-1.2-phi-14B
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+
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+ Please note: this is an untested, experimental release.
33
+
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+ Mahou is our attempt to build a production-ready conversational/roleplay LLM.
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+
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+ Future versions will be released iteratively and finetuned from flammen.ai conversational data.
37
+
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+ ### Chat Format
39
+
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+ This model has been trained to use ChatML format.
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+
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+ ```
43
+ <|im_start|>system
44
+ {{system}}<|im_end|>
45
+ <|im_start|>{{char}}
46
+ {{message}}<|im_end|>
47
+ <|im_start|>{{user}}
48
+ {{message}}<|im_end|>
49
+ ```
50
+
51
+ # Roleplay Format
52
+
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+ - Speech without quotes.
54
+ - Actions in `*asterisks*`
55
+
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+ ```
57
+ *leans against wall cooly* so like, i just casted a super strong spell at magician academy today, not gonna lie, felt badass.
58
+ ```
59
+
60
+ ### ST Settings
61
+
62
+ 1. Use ChatML for the Context Template.
63
+ 2. Turn on Instruct Mode for ChatML.
64
+ 3. Use the following stopping strings: `["<", "|", "<|", "\n"]`
65
+
66
+ ### Method
67
+
68
+ Finetuned using an A100 on Google Colab.
69
+
70
+ [Fine-tune a Mistral-7b model with Direct Preference Optimization](https://towardsdatascience.com/fine-tune-a-mistral-7b-model-with-direct-preference-optimization-708042745aac) - [Maxime Labonne](https://huggingface.co/mlabonne)
71
+
72
+ ### Configuration
73
+
74
+ LoRA, model, and training settings:
75
+
76
+ ```python
77
+ # LoRA configuration
78
+ peft_config = LoraConfig(
79
+ r=16,
80
+ lora_alpha=16,
81
+ lora_dropout=0.05,
82
+ bias="none",
83
+ task_type="CAUSAL_LM",
84
+ target_modules=['k_proj', 'gate_proj', 'v_proj', 'up_proj', 'q_proj', 'o_proj', 'down_proj']
85
+ )
86
+
87
+ # Model to fine-tune
88
+ model = AutoModelForCausalLM.from_pretrained(
89
+ model_name,
90
+ torch_dtype=torch.bfloat16,
91
+ load_in_4bit=True
92
+ )
93
+ model.config.use_cache = False
94
+
95
+ # Reference model
96
+ ref_model = AutoModelForCausalLM.from_pretrained(
97
+ model_name,
98
+ torch_dtype=torch.bfloat16,
99
+ load_in_4bit=True
100
+ )
101
+
102
+ # Training arguments
103
+ training_args = TrainingArguments(
104
+ per_device_train_batch_size=4,
105
+ gradient_accumulation_steps=4,
106
+ gradient_checkpointing=True,
107
+ learning_rate=5e-5,
108
+ lr_scheduler_type="cosine",
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+ max_steps=2000,
110
+ save_strategy="no",
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+ logging_steps=1,
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+ output_dir=new_model,
113
+ optim="paged_adamw_32bit",
114
+ warmup_steps=100,
115
+ bf16=True,
116
+ report_to="wandb",
117
+ )
118
+
119
+ # Create DPO trainer
120
+ dpo_trainer = DPOTrainer(
121
+ model,
122
+ ref_model,
123
+ args=training_args,
124
+ train_dataset=dataset,
125
+ tokenizer=tokenizer,
126
+ peft_config=peft_config,
127
+ beta=0.1,
128
+ force_use_ref_model=True
129
+ )
130
+
131
+ # Fine-tune model with DPO
132
+ dpo_trainer.train()
133
+ ```
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@@ -0,0 +1,129 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_eos_token": false,
4
+ "added_tokens_decoder": {
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+ "0": {
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+ "content": "<unk>",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": false,
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+ "single_word": false,
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+ "special": true
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+ },
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+ "1": {
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+ "content": "<s>",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": false,
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+ "single_word": false,
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+ "special": true
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+ },
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+ "2": {
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+ "content": "</s>",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": true,
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+ "single_word": false,
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+ "special": false
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+ },
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+ "32000": {
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+ "content": "<|endoftext|>",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": false,
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+ "single_word": false,
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+ "special": true
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+ },
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+ "32001": {
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+ "content": "<|assistant|>",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": true,
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+ "single_word": false,
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+ "special": true
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+ },
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+ "32002": {
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+ "content": "<|placeholder1|>",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": true,
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+ "single_word": false,
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+ "special": true
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+ },
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+ "32003": {
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+ "content": "<|placeholder2|>",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": true,
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+ "single_word": false,
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+ "special": true
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+ },
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+ "32004": {
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+ "content": "<|placeholder3|>",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": true,
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+ "single_word": false,
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+ "special": true
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+ },
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+ "32005": {
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+ "content": "<|placeholder4|>",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": true,
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+ "single_word": false,
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+ "special": true
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+ },
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+ "32006": {
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+ "content": "<|system|>",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": true,
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+ "single_word": false,
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+ "special": true
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+ },
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+ "32007": {
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+ "content": "<|end|>",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": true,
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+ "single_word": false,
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+ "special": true
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+ },
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+ "32008": {
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+ "content": "<|placeholder5|>",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": true,
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+ "single_word": false,
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+ "special": true
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+ },
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+ "32009": {
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+ "content": "<|placeholder6|>",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": true,
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+ "single_word": false,
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+ "special": true
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+ },
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+ "32010": {
110
+ "content": "<|user|>",
111
+ "lstrip": false,
112
+ "normalized": false,
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+ "rstrip": true,
114
+ "single_word": false,
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+ "special": true
116
+ }
117
+ },
118
+ "bos_token": "<s>",
119
+ "chat_template": "{% for message in messages %}{% if (message['role'] == 'user') %}{{'<|user|>' + '\n' + message['content'] + '<|end|>' + '\n' + '<|assistant|>' + '\n'}}{% elif (message['role'] == 'assistant') %}{{message['content'] + '<|end|>' + '\n'}}{% endif %}{% endfor %}",
120
+ "clean_up_tokenization_spaces": false,
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+ "eos_token": "<|endoftext|>",
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+ "model_max_length": 131072,
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+ "pad_token": "<|endoftext|>",
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+ "padding_side": "left",
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+ "sp_model_kwargs": {},
126
+ "tokenizer_class": "LlamaTokenizer",
127
+ "unk_token": "<unk>",
128
+ "use_default_system_prompt": false
129
+ }