Instructions to use Krisbiantoro/mistral7b_dpo_en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Krisbiantoro/mistral7b_dpo_en with PEFT:
Base model is not found.
- Notebooks
- Google Colab
- Kaggle
Commit ·
1fa4da1
1
Parent(s): 072dc71
Upload folder using huggingface_hub
Browse files- README.md +21 -0
- adapter_config.json +25 -0
- adapter_model.bin +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +11 -0
- tokenizer.json +0 -0
- tokenizer_config.json +44 -0
- trainer_state.json +751 -0
- training_args.bin +3 -0
README.md
ADDED
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---
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library_name: peft
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---
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## Training procedure
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The following `bitsandbytes` quantization config was used during training:
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- quant_method: bitsandbytes
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- load_in_8bit: False
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- load_in_4bit: True
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- llm_int8_threshold: 6.0
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- llm_int8_skip_modules: None
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- llm_int8_enable_fp32_cpu_offload: False
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- llm_int8_has_fp16_weight: False
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- bnb_4bit_quant_type: fp4
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- bnb_4bit_use_double_quant: False
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- bnb_4bit_compute_dtype: float32
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### Framework versions
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- PEFT 0.5.0
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adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": null,
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"bias": "none",
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"fan_in_fan_out": false,
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| 6 |
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"inference_mode": true,
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"init_lora_weights": true,
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| 8 |
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"layers_pattern": null,
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| 9 |
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"layers_to_transform": null,
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"lora_alpha": 16,
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"lora_dropout": 0.05,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 8,
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"revision": null,
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"target_modules": [
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"q_proj",
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"k_proj",
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"v_proj",
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"gate_proj",
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"up_proj",
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"down_proj"
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],
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"task_type": "CAUSAL_LM"
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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 sha256:7fb41ed248b38a0d5c018c6a8583bdfba80b6d2fa606506f6813c43958a99bbf
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| 3 |
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size 75641741
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optimizer.pt
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:446b771342b713e07f4acb65267ef0679ef125566f0de980a5ac69b427e4f799
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| 3 |
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size 151224453
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rng_state.pth
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:972139d83957a9cf2600cb6eeca17287d7a5377c33a53500ae7e13fe830ad36b
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| 3 |
+
size 14575
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scheduler.pt
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:f03c5a9d9fd80414287e17e83b0d9b80cfdcf5ad7a4a9d63da800e7a44f10384
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+
size 627
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<unk>",
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"<s>",
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"</s>"
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],
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"bos_token": "<s>",
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"eos_token": "</s>",
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| 9 |
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"pad_token": "</s>",
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| 10 |
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"unk_token": "<unk>"
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| 11 |
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}
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tokenizer.json
ADDED
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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
ADDED
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{
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"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": false,
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"single_word": false,
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"special": true
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}
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},
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"additional_special_tokens": [
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"<unk>",
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"<s>",
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"</s>"
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| 32 |
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],
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| 33 |
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"bos_token": "<s>",
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| 34 |
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"clean_up_tokenization_spaces": false,
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| 35 |
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"eos_token": "</s>",
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| 36 |
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"legacy": true,
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| 37 |
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"model_max_length": 1000000000000000019884624838656,
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| 38 |
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"pad_token": "</s>",
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| 39 |
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"sp_model_kwargs": {},
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| 40 |
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"spaces_between_special_tokens": false,
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| 41 |
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"tokenizer_class": "LlamaTokenizer",
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| 42 |
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"unk_token": "<unk>",
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| 43 |
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"use_default_system_prompt": true
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}
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trainer_state.json
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training_args.bin
ADDED
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@@ -0,0 +1,3 @@
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