Initial commit
Browse files- README.md +172 -0
- adapter_config.json +30 -0
- adapter_model.bin +3 -0
- adapter_model.safetensors +3 -0
- config.json +53 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +30 -0
- tokenizer.model +3 -0
- tokenizer_config.json +43 -0
- trainer_state.json +751 -0
- training_args.bin +3 -0
README.md
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---
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license: apache-2.0
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library_name: peft
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tags:
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- generated_from_trainer
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base_model: TheBloke/SOLAR-10.7B-Instruct-v1.0-uncensored-GPTQ
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model-index:
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- name: output_solor/exp_16
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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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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<details><summary>See axolotl config</summary>
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axolotl version: `0.4.0`
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```yaml
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base_model: TheBloke/SOLAR-10.7B-Instruct-v1.0-uncensored-GPTQ
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is_llama_derived_model: false
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gptq: true
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gptq_disable_exllama: true
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model_type: AutoModelForCausalLM
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tokenizer_type: LlamaTokenizer
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tokenizer_use_fast: true
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tokenizer_legacy: 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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push_dataset_to_hub:
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hf_use_auth_token: true
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datasets:
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- path: datasets_cleansinng/datasets/helper_selector_1280_0305_v01.jsonl #Path to json dataset file in huggingface
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#for type,conversation arguments read axolotl readme and pick what is suited for your project, I wanted a chatbot and put sharegpt and chatml
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type:
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system_prompt: "Instruction에 따라 적절하게 Input 데이터를 활용하여 Output 답변을 하세요. 너는 사용자 질문(Instruction)에 실시간으로 API 호출을 위한 Json 형식의 구조화된 결과를 생성하는 인공지능이야."
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format: "[INST]### Instruction:\n{instruction}\n\n### Input:{input}\n\n[/INST]### Output: "
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no_input_format: "[INST]### Instruction:\n{instruction}\n\n[/INST]### Output: "
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field_instruction: Instruction
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field_input: Input
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field_output: Output
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dataset_prepared_path:
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val_set_size: 0.05
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adapter: lora
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lora_model_dir:
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sequence_len: 4096
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sample_packing:
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lora_r: 32
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lora_alpha: 32
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lora_dropout: 0.05
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lora_target_modules:
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- k_proj
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- o_proj
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- q_proj
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- v_proj
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lora_target_linear:
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lora_fan_in_fan_out:
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wandb_project:
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wandb_watch:
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wandb_name:
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wandb_log_model:
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output_dir: ./output_solor/exp_16
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gradient_accumulation_steps: 8
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micro_batch_size: 8
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num_epochs: 5
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optimizer: adamw_torch
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adam_beta2: 0.95
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adam_eps: 0.00001
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max_grad_norm: 1.0
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torchdistx_path:
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lr_scheduler: cosine
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lr_quadratic_warmup: true
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learning_rate: 0.0005
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train_on_inputs: false
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group_by_length: false
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bf16: false
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fp16: false
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float16: true
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tf32: true
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gradient_checkpointing: true
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early_stopping_patience:
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resume_from_checkpoint:
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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:
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sdp_attention:
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flash_optimum:
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warmup_steps: 100
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evals_per_epoch: 4
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saves_per_epoch: 1
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debug:
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deepspeed: deepspeed_configs/zero1.json
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weight_decay: 0.1
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special_tokens:
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bos_token: "<s>"
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eos_token: "</s>"
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unk_token: "<unk>"
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```
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</details><br>
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# output_solor/exp_16
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This model is a fine-tuned version of [TheBloke/SOLAR-10.7B-Instruct-v1.0-uncensored-GPTQ](https://huggingface.co/TheBloke/SOLAR-10.7B-Instruct-v1.0-uncensored-GPTQ) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2015
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0005
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 64
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- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 100
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.3493 | 0.05 | 1 | 1.2795 |
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| 1.2483 | 0.26 | 5 | 1.2769 |
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| 1.2275 | 0.53 | 10 | 1.2099 |
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| 1.0529 | 0.79 | 15 | 1.0724 |
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| 0.8642 | 1.05 | 20 | 0.9709 |
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| 0.8477 | 1.32 | 25 | 0.8245 |
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| 0.7207 | 1.58 | 30 | 0.6994 |
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| 0.4656 | 1.84 | 35 | 0.5878 |
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| 0.4949 | 2.11 | 40 | 0.4970 |
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| 0.3497 | 2.37 | 45 | 0.4221 |
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| 0.3288 | 2.63 | 50 | 0.3672 |
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| 0.3011 | 2.89 | 55 | 0.3250 |
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| 0.2648 | 3.16 | 60 | 0.2900 |
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| 0.3084 | 3.42 | 65 | 0.2591 |
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| 0.2696 | 3.68 | 70 | 0.2459 |
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| 0.2197 | 3.95 | 75 | 0.2286 |
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| 0.1905 | 4.21 | 80 | 0.2111 |
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| 0.1815 | 4.47 | 85 | 0.2084 |
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| 0.2164 | 4.74 | 90 | 0.2128 |
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| 0.1412 | 5.0 | 95 | 0.2015 |
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### Framework versions
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- PEFT 0.9.1.dev0
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- Transformers 4.38.0.dev0
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- Pytorch 2.0.1+cu117
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- Datasets 2.18.0
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- Tokenizers 0.15.0
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "TheBloke/SOLAR-10.7B-Instruct-v1.0-uncensored-GPTQ",
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"bias": "none",
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"fan_in_fan_out": null,
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"inference_mode": true,
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_dropout": 0.05,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 32,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"v_proj",
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"o_proj",
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"k_proj",
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"q_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:a73d8948cbc0281d87f4edf2f31bdf4a19dd525dfcc609247c64a007af7453ec
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size 163638973
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:442249e41a7b14fe7e3d09c22d68e393a3472fb4398734124a485a3abba3fa3e
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size 163629904
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config.json
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{
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"_name_or_path": "TheBloke/SOLAR-10.7B-Instruct-v1.0-uncensored-GPTQ",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 4096,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 48,
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"num_key_value_heads": 8,
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"pad_token_id": 2,
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"pretraining_tp": 1,
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"quantization_config": {
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"batch_size": 1,
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"bits": 4,
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"block_name_to_quantize": null,
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"cache_block_outputs": true,
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"damp_percent": 0.1,
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"dataset": null,
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"desc_act": true,
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"exllama_config": {
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"version": 1
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},
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"group_size": 128,
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"max_input_length": null,
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"model_seqlen": null,
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"module_name_preceding_first_block": null,
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"modules_in_block_to_quantize": null,
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"pad_token_id": null,
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"quant_method": "gptq",
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"sym": true,
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"tokenizer": null,
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"true_sequential": true,
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"use_cuda_fp16": false,
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"use_exllama": false
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},
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.38.0.dev0",
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"use_cache": false,
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"vocab_size": 32000
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}
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rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:8f2e36934e8695cfe88ba99ce4bccbcd32a66a63f999c007176e12c26e97f01e
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size 14575
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scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:877e4d20600fd19d73ff925197db60020e3b1bc4858ef2aba16e8a00797785f7
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size 627
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special_tokens_map.json
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{
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"bos_token": {
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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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},
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"eos_token": {
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"content": "</s>",
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|
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tokenizer.model
ADDED
@@ -0,0 +1,3 @@
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1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
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3 |
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size 493443
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tokenizer_config.json
ADDED
@@ -0,0 +1,43 @@
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1 |
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{
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trainer_state.json
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