Upload folder using huggingface_hub
Browse files- README.md +116 -0
- added_tokens.json +13 -0
- config.json +181 -0
- generation_config.json +11 -0
- model.safetensors.index.json +250 -0
- output-00001-of-00002.safetensors +3 -0
- output-00002-of-00002.safetensors +3 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +129 -0
README.md
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---
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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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![image/png](https://huggingface.co/flammenai/Mahou-1.0-mistral-7B/resolve/main/mahou1.png)
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# Mahou-1.2-phi-14B
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Please note: this is an untested, experimental release.
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Mahou is our attempt to build a production-ready conversational/roleplay LLM.
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Future versions will be released iteratively and finetuned from flammen.ai conversational data.
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### Chat Format
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This model has been trained to use ChatML format.
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```
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<|im_start|>system
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{{system}}<|im_end|>
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<|im_start|>{{char}}
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{{message}}<|im_end|>
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<|im_start|>{{user}}
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{{message}}<|im_end|>
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```
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# Roleplay Format
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- Speech without quotes.
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- Actions in `*asterisks*`
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```
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*leans against wall cooly* so like, i just casted a super strong spell at magician academy today, not gonna lie, felt badass.
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```
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### ST Settings
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1. Use ChatML for the Context Template.
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2. Turn on Instruct Mode for ChatML.
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3. Use the following stopping strings: `["<", "|", "<|", "\n"]`
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### Method
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Finetuned using an A100 on Google Colab.
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[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)
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### Configuration
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LoRA, model, and training settings:
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```python
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# LoRA configuration
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peft_config = LoraConfig(
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r=16,
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lora_alpha=16,
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lora_dropout=0.05,
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bias="none",
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task_type="CAUSAL_LM",
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target_modules=['k_proj', 'gate_proj', 'v_proj', 'up_proj', 'q_proj', 'o_proj', 'down_proj']
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)
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# Model to fine-tune
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model = AutoModelForCausalLM.from_pretrained(
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model_name,
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torch_dtype=torch.bfloat16,
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load_in_4bit=True
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)
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model.config.use_cache = False
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# Reference model
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ref_model = AutoModelForCausalLM.from_pretrained(
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model_name,
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torch_dtype=torch.bfloat16,
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load_in_4bit=True
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)
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# Training arguments
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training_args = TrainingArguments(
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per_device_train_batch_size=4,
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gradient_accumulation_steps=4,
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gradient_checkpointing=True,
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learning_rate=5e-5,
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lr_scheduler_type="cosine",
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max_steps=2000,
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save_strategy="no",
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logging_steps=1,
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output_dir=new_model,
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optim="paged_adamw_32bit",
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warmup_steps=100,
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bf16=True,
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report_to="wandb",
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)
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# Create DPO trainer
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dpo_trainer = DPOTrainer(
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model,
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ref_model,
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args=training_args,
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train_dataset=dataset,
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tokenizer=tokenizer,
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peft_config=peft_config,
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beta=0.1,
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force_use_ref_model=True
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)
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# Fine-tune model with DPO
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dpo_trainer.train()
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```
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added_tokens.json
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{
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"<|assistant|>": 32001,
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"<|endoftext|>": 32000,
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"<|end|>": 32007,
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"<|placeholder1|>": 32002,
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"<|placeholder2|>": 32003,
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"<|placeholder3|>": 32004,
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"<|placeholder4|>": 32005,
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"<|placeholder5|>": 32008,
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"<|placeholder6|>": 32009,
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"<|system|>": 32006,
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"<|user|>": 32010
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}
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config.json
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{
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"_name_or_path": "microsoft/Phi-3-medium-128k-instruct",
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"architectures": [
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"Phi3ForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"auto_map": {
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"AutoConfig": "microsoft/Phi-3-medium-128k-instruct--configuration_phi3.Phi3Config",
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"AutoModelForCausalLM": "microsoft/Phi-3-medium-128k-instruct--modeling_phi3.Phi3ForCausalLM"
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},
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"bos_token_id": 1,
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"embd_pdrop": 0.0,
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"eos_token_id": 32000,
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"hidden_act": "silu",
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"hidden_size": 5120,
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"initializer_range": 0.02,
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"intermediate_size": 17920,
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"max_position_embeddings": 131072,
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"model_type": "phi3",
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"num_attention_heads": 40,
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"num_hidden_layers": 40,
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"num_key_value_heads": 10,
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"original_max_position_embeddings": 4096,
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"pad_token_id": null,
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"resid_pdrop": 0.0,
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"rms_norm_eps": 1e-05,
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"rope_scaling": {
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"long_factor": [
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1.0,
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1.0,
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1.0,
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1.0,
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1.0,
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1.0,
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1.0,
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1.0,
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1.0,
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1.0,
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1.0,
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47 |
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48 |
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49 |
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|
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|
51 |
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52 |
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53 |
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54 |
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55 |
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56 |
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19.75,
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57 |
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21.25,
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58 |
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21.5,
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26.5,
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60 |
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30.0,
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61 |
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62 |
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35.25,
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63 |
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65 |
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66 |
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68 |
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69 |
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50.5,
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70 |
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51.0,
|
71 |
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52.0,
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72 |
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73 |
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53.75,
|
74 |
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54.75,
|
75 |
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57.0,
|
76 |
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|
77 |
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58.5,
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78 |
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59.25,
|
79 |
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80 |
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62.0,
|
81 |
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62.5,
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82 |
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62.75,
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83 |
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63.25,
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63.25,
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63.25,
|
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63.75,
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64.0,
|
88 |
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89 |
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64.25,
|
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|
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64.5,
|
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65.0,
|
93 |
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65.0
|
94 |
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],
|
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"short_factor": [
|
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1.0,
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97 |
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1.0,
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101 |
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102 |
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103 |
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1.02,
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104 |
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1.02,
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105 |
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106 |
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1.04,
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107 |
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108 |
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1.07,
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109 |
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1.1,
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110 |
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131 |
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135 |
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136 |
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137 |
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139 |
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140 |
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144 |
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145 |
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158 |
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159 |
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|
160 |
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],
|
161 |
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"type": "su"
|
162 |
+
},
|
163 |
+
"rope_theta": 10000.0,
|
164 |
+
"sliding_window": 131072,
|
165 |
+
"tie_word_embeddings": false,
|
166 |
+
"torch_dtype": "bfloat16",
|
167 |
+
"transformers_version": "4.41.0",
|
168 |
+
"use_cache": true,
|
169 |
+
"vocab_size": 32064,
|
170 |
+
"quantization_config": {
|
171 |
+
"quant_method": "exl2",
|
172 |
+
"version": "0.0.21",
|
173 |
+
"bits": 6.0,
|
174 |
+
"head_bits": 8,
|
175 |
+
"calibration": {
|
176 |
+
"rows": 100,
|
177 |
+
"length": 2048,
|
178 |
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"dataset": "(default)"
|
179 |
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}
|
180 |
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}
|
181 |
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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4 |
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"eos_token_id": [
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32000,
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32001,
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7 |
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32007
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8 |
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],
|
9 |
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"pad_token_id": 32000,
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10 |
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"transformers_version": "4.41.0"
|
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}
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model.safetensors.index.json
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103 |
+
"lstrip": false,
|
104 |
+
"normalized": false,
|
105 |
+
"rstrip": true,
|
106 |
+
"single_word": false,
|
107 |
+
"special": true
|
108 |
+
},
|
109 |
+
"32010": {
|
110 |
+
"content": "<|user|>",
|
111 |
+
"lstrip": false,
|
112 |
+
"normalized": false,
|
113 |
+
"rstrip": true,
|
114 |
+
"single_word": false,
|
115 |
+
"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,
|
121 |
+
"eos_token": "<|endoftext|>",
|
122 |
+
"model_max_length": 131072,
|
123 |
+
"pad_token": "<|endoftext|>",
|
124 |
+
"padding_side": "left",
|
125 |
+
"sp_model_kwargs": {},
|
126 |
+
"tokenizer_class": "LlamaTokenizer",
|
127 |
+
"unk_token": "<unk>",
|
128 |
+
"use_default_system_prompt": false
|
129 |
+
}
|