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README.md
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README.md
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---
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---
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license: Apache License 2.0
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license: llama3.1
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base_model: meta-llama/Meta-Llama-3.1-8B
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#model-type:
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tags:
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##如 gpt、phi、llama、chatglm、baichuan 等
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- generated_from_trainer
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#- gpt
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datasets:
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- cognitivecomputations/Dolphin-2.9
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#domain:
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- m-a-p/CodeFeedback-Filtered-Instruction
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##如 nlp、cv、audio、multi-modal
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- cognitivecomputations/dolphin-coder
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#- nlp
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- cognitivecomputations/samantha-data
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- microsoft/orca-math-word-problems-200k
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#language:
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- mlabonne/FineTome-100k
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##语言代码列表 https://help.aliyun.com/document_detail/215387.html?spm=a2c4g.11186623.0.0.9f8d7467kni6Aa
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- arcee/agent_data
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#- cn
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- PawanKrd/math-gpt-4o-200k
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- cognitivecomputations/SystemChat-2.0
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#metrics:
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##如 CIDEr、Blue、ROUGE 等
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||||||
#- CIDEr
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||||||
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#tags:
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||||||
##各种自定义，包括 pretrained、fine-tuned、instruction-tuned、RL-tuned 等训练方法和其他
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||||||
#- pretrained
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#tools:
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##如 vllm、fastchat、llamacpp、AdaSeq 等
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#- vllm
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||||||
---
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---
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||||||
### 当前模型的贡献者未提供更加详细的模型介绍。模型文件和权重，可浏览“模型文件”页面获取。
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#### 您可以通过如下git clone命令，或者ModelScope SDK来下载模型
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SDK下载
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# Dolphin 2.9.4 Llama 3.1 8b 🐬
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```bash
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#安装ModelScope
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Curated and trained by Eric Hartford and Cognitive Computations
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pip install modelscope
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||||||
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[](https://discord.gg/h3K4XGj2RH)
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Discord: https://discord.gg/h3K4XGj2RH
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<img src="https://cdn-uploads.huggingface.co/production/uploads/63111b2d88942700629f5771/ldkN1J0WIDQwU4vutGYiD.png" width="600" />
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Our appreciation for the sponsors of Dolphin 2.9.4:
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|
- [Crusoe Cloud](https://crusoe.ai/) - provided excellent on-demand 8xL40S node
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This model is based on Meta Llama 3.1 8b, and is governed by the Llama 3.1 license.
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The base model has 128K context, and our finetuning used 8192 sequence length.
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Dolphin 2.9.4 uses ChatML prompt template format.
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example:
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```
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```
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```python
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<|im_start|>system
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#SDK模型下载
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You are Dolphin, a helpful AI assistant.<|im_end|>
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from modelscope import snapshot_download
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<|im_start|>user
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model_dir = snapshot_download('dphn/dolphin-2.9.4-llama3.1-8b')
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{prompt}<|im_end|>
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```
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<|im_start|>assistant
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Git下载
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|
||||||
```
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#Git模型下载
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git clone https://www.modelscope.cn/dphn/dolphin-2.9.4-llama3.1-8b.git
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|
||||||
```
|
```
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<p style="color: lightgrey;">如果您是本模型的贡献者，我们邀请您根据<a href="https://modelscope.cn/docs/ModelScope%E6%A8%A1%E5%9E%8B%E6%8E%A5%E5%85%A5%E6%B5%81%E7%A8%8B%E6%A6%82%E8%A7%88" style="color: lightgrey; text-decoration: underline;">模型贡献文档</a>，及时完善模型卡片内容。</p>
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Dolphin-2.9.4 has a variety of instruction following, conversational, and coding skills. It also has agentic abilities and supports function calling.
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It is especially trained to obey the system prompt, and follow instructions in many languages.
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Dolphin is uncensored. We have filtered the dataset to remove alignment and bias. This makes the model more compliant. You are advised to implement your own alignment layer before exposing the model as a service. It will be highly compliant with any requests, even unethical ones. Please read my blog post about uncensored models. https://erichartford.com/uncensored-models You are responsible for any content you create using this model. Enjoy responsibly.
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<details><summary>Evals</summary>
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```
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hf (pretrained=/workspace/axolotl/dolphin-2.9.4-llama3.1-8b-hf,dtype=bfloat16), gen_kwargs: (None), limit: None, num_fewshot: None, batch_size: auto (4)
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|
| Tasks |Version|Filter|n-shot| Metric | |Value | |Stderr|
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|
|-----------------------------------------------------------|-------|------|-----:|-----------------------|---|-----:|---|------|
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|
|leaderboard |N/A |none | 0|acc |↑ |0.2926|± |0.0041|
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||||||
|
| | |none | 0|acc_norm |↑ |0.4513|± |0.0053|
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||||||
|
| | |none | 0|exact_match |↑ |0.0982|± |0.0079|
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||||||
|
| | |none | 0|inst_level_loose_acc |↑ |0.3825|± |N/A |
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||||||
|
| | |none | 0|inst_level_strict_acc |↑ |0.3597|± |N/A |
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|
| | |none | 0|prompt_level_loose_acc |↑ |0.2421|± |0.0184|
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|
| | |none | 0|prompt_level_strict_acc|↑ |0.2181|± |0.0178|
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|
| - leaderboard_bbh |N/A |none | 3|acc_norm |↑ |0.4931|± |0.0061|
|
||||||
|
| - leaderboard_bbh_boolean_expressions | 0|none | 3|acc_norm |↑ |0.8000|± |0.0253|
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|
| - leaderboard_bbh_causal_judgement | 0|none | 3|acc_norm |↑ |0.5615|± |0.0364|
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| - leaderboard_bbh_date_understanding | 0|none | 3|acc_norm |↑ |0.4520|± |0.0315|
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|
| - leaderboard_bbh_disambiguation_qa | 0|none | 3|acc_norm |↑ |0.6640|± |0.0299|
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||||||
|
| - leaderboard_bbh_formal_fallacies | 0|none | 3|acc_norm |↑ |0.5600|± |0.0315|
|
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| - leaderboard_bbh_geometric_shapes | 0|none | 3|acc_norm |↑ |0.3640|± |0.0305|
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||||||
|
| - leaderboard_bbh_hyperbaton | 0|none | 3|acc_norm |↑ |0.6320|± |0.0306|
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|
| - leaderboard_bbh_logical_deduction_five_objects | 0|none | 3|acc_norm |↑ |0.4600|± |0.0316|
|
||||||
|
| - leaderboard_bbh_logical_deduction_seven_objects | 0|none | 3|acc_norm |↑ |0.4360|± |0.0314|
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||||||
|
| - leaderboard_bbh_logical_deduction_three_objects | 0|none | 3|acc_norm |↑ |0.6160|± |0.0308|
|
||||||
|
| - leaderboard_bbh_movie_recommendation | 0|none | 3|acc_norm |↑ |0.7880|± |0.0259|
|
||||||
|
| - leaderboard_bbh_navigate | 0|none | 3|acc_norm |↑ |0.5200|± |0.0317|
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||||||
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| - leaderboard_bbh_object_counting | 0|none | 3|acc_norm |↑ |0.4520|± |0.0315|
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||||||
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| - leaderboard_bbh_penguins_in_a_table | 0|none | 3|acc_norm |↑ |0.5205|± |0.0415|
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||||||
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| - leaderboard_bbh_reasoning_about_colored_objects | 0|none | 3|acc_norm |↑ |0.5120|± |0.0317|
|
||||||
|
| - leaderboard_bbh_ruin_names | 0|none | 3|acc_norm |↑ |0.6320|± |0.0306|
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||||||
|
| - leaderboard_bbh_salient_translation_error_detection | 0|none | 3|acc_norm |↑ |0.4320|± |0.0314|
|
||||||
|
| - leaderboard_bbh_snarks | 0|none | 3|acc_norm |↑ |0.5843|± |0.0370|
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||||||
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| - leaderboard_bbh_sports_understanding | 0|none | 3|acc_norm |↑ |0.7040|± |0.0289|
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||||||
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| - leaderboard_bbh_temporal_sequences | 0|none | 3|acc_norm |↑ |0.1440|± |0.0222|
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||||||
|
| - leaderboard_bbh_tracking_shuffled_objects_five_objects | 0|none | 3|acc_norm |↑ |0.1560|± |0.0230|
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||||||
|
| - leaderboard_bbh_tracking_shuffled_objects_seven_objects| 0|none | 3|acc_norm |↑ |0.1320|± |0.0215|
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||||||
|
| - leaderboard_bbh_tracking_shuffled_objects_three_objects| 0|none | 3|acc_norm |↑ |0.2840|± |0.0286|
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||||||
|
| - leaderboard_bbh_web_of_lies | 0|none | 3|acc_norm |↑ |0.4840|± |0.0317|
|
||||||
|
| - leaderboard_gpqa |N/A |none | 0|acc_norm |↑ |0.2903|± |0.0132|
|
||||||
|
| - leaderboard_gpqa_diamond | 1|none | 0|acc_norm |↑ |0.2980|± |0.0326|
|
||||||
|
| - leaderboard_gpqa_extended | 1|none | 0|acc_norm |↑ |0.2839|± |0.0193|
|
||||||
|
| - leaderboard_gpqa_main | 1|none | 0|acc_norm |↑ |0.2946|± |0.0216|
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||||||
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| - leaderboard_ifeval | 2|none | 0|inst_level_loose_acc |↑ |0.3825|± |N/A |
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||||||
|
| | |none | 0|inst_level_strict_acc |↑ |0.3597|± |N/A |
|
||||||
|
| | |none | 0|prompt_level_loose_acc |↑ |0.2421|± |0.0184|
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||||||
|
| | |none | 0|prompt_level_strict_acc|↑ |0.2181|± |0.0178|
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||||||
|
| - leaderboard_math_algebra_hard | 1|none | 4|exact_match |↑ |0.1596|± |0.0209|
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| - leaderboard_math_counting_and_prob_hard | 1|none | 4|exact_match |↑ |0.0488|± |0.0195|
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||||||
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| - leaderboard_math_geometry_hard | 1|none | 4|exact_match |↑ |0.0530|± |0.0196|
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||||||
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| - leaderboard_math_hard |N/A |none | 4|exact_match |↑ |0.0982|± |0.0079|
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||||||
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| - leaderboard_math_intermediate_algebra_hard | 1|none | 4|exact_match |↑ |0.0143|± |0.0071|
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||||||
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| - leaderboard_math_num_theory_hard | 1|none | 4|exact_match |↑ |0.0455|± |0.0168|
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||||||
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| - leaderboard_math_prealgebra_hard | 1|none | 4|exact_match |↑ |0.2591|± |0.0316|
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| - leaderboard_math_precalculus_hard | 1|none | 4|exact_match |↑ |0.0519|± |0.0192|
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| - leaderboard_mmlu_pro | 0.1|none | 5|acc |↑ |0.2926|± |0.0041|
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| - leaderboard_musr |N/A |none | 0|acc_norm |↑ |0.3862|± |0.0173|
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| - leaderboard_musr_murder_mysteries | 1|none | 0|acc_norm |↑ |0.5280|± |0.0316|
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| - leaderboard_musr_object_placements | 1|none | 0|acc_norm |↑ |0.3594|± |0.0300|
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| - leaderboard_musr_team_allocation | 1|none | 0|acc_norm |↑ |0.2720|± |0.0282|
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|
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|
| Groups |Version|Filter|n-shot| Metric | |Value | |Stderr|
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||||||
|
|------------------------|-------|------|-----:|-----------------------|---|-----:|---|------|
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||||||
|
|leaderboard |N/A |none | 0|acc |↑ |0.2926|± |0.0041|
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||||||
|
| | |none | 0|acc_norm |↑ |0.4513|± |0.0053|
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||||||
|
| | |none | 0|exact_match |↑ |0.0982|± |0.0079|
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|
| | |none | 0|inst_level_loose_acc |↑ |0.3825|± |N/A |
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|
| | |none | 0|inst_level_strict_acc |↑ |0.3597|± |N/A |
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||||||
|
| | |none | 0|prompt_level_loose_acc |↑ |0.2421|± |0.0184|
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|
| | |none | 0|prompt_level_strict_acc|↑ |0.2181|± |0.0178|
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| - leaderboard_bbh |N/A |none | 3|acc_norm |↑ |0.4931|± |0.0061|
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| - leaderboard_gpqa |N/A |none | 0|acc_norm |↑ |0.2903|± |0.0132|
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| - leaderboard_math_hard|N/A |none | 4|exact_match |↑ |0.0982|± |0.0079|
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| - leaderboard_musr |N/A |none | 0|acc_norm |↑ |0.3862|± |0.0173|
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```
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</details>
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||||||
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||||||
|
[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
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<details><summary>See axolotl config</summary>
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||||||
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axolotl version: `0.4.1`
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|
```yaml
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|
base_model: meta-llama/Meta-Llama-3.1-8B
|
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|
model_type: LlamaForCausalLM
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|
tokenizer_type: AutoTokenizer
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|
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load_in_8bit: false
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||||||
|
# load_in_4bit: true
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strict: false
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|
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|
datasets:
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||||||
|
- path: /workspace/datasets/dolphin-2.9.4/dolphin201-sharegpt2.jsonl
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type: sharegpt
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conversation: chatml
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chat_template: chatml
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|
# adapter: qlora
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||||||
|
# lora_r: 128
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||||||
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# lora_alpha: 16
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||||||
|
# lora_modules_to_save: [embed_tokens, lm_head]
|
||||||
|
# lora_dropout: 0.05
|
||||||
|
# lora_target_linear: true
|
||||||
|
|
||||||
|
unfrozen_parameters:
|
||||||
|
- input_layernorm
|
||||||
|
- model.norm
|
||||||
|
- post_attention_layernorm
|
||||||
|
- self_attn.rotary_emb
|
||||||
|
- ^lm_head.weight$
|
||||||
|
- ^model.embed_tokens.weight$
|
||||||
|
# mlp.down_proj layers
|
||||||
|
- model.layers.1.mlp.down_proj
|
||||||
|
- model.layers.0.mlp.down_proj
|
||||||
|
- model.layers.30.mlp.down_proj
|
||||||
|
- model.layers.2.mlp.down_proj
|
||||||
|
- model.layers.21.mlp.down_proj
|
||||||
|
- model.layers.22.mlp.down_proj
|
||||||
|
- model.layers.29.mlp.down_proj
|
||||||
|
- model.layers.5.mlp.down_proj
|
||||||
|
- model.layers.4.mlp.down_proj
|
||||||
|
- model.layers.20.mlp.down_proj
|
||||||
|
- model.layers.23.mlp.down_proj
|
||||||
|
- model.layers.19.mlp.down_proj
|
||||||
|
- model.layers.3.mlp.down_proj
|
||||||
|
- model.layers.17.mlp.down_proj
|
||||||
|
- model.layers.6.mlp.down_proj
|
||||||
|
- model.layers.31.mlp.down_proj
|
||||||
|
# mlp.up_proj layers
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||||||
|
- model.layers.4.mlp.up_proj
|
||||||
|
- model.layers.3.mlp.up_proj
|
||||||
|
- model.layers.0.mlp.up_proj
|
||||||
|
- model.layers.5.mlp.up_proj
|
||||||
|
- model.layers.7.mlp.up_proj
|
||||||
|
- model.layers.6.mlp.up_proj
|
||||||
|
- model.layers.2.mlp.up_proj
|
||||||
|
- model.layers.1.mlp.up_proj
|
||||||
|
- model.layers.8.mlp.up_proj
|
||||||
|
- model.layers.12.mlp.up_proj
|
||||||
|
- model.layers.14.mlp.up_proj
|
||||||
|
- model.layers.9.mlp.up_proj
|
||||||
|
- model.layers.15.mlp.up_proj
|
||||||
|
- model.layers.17.mlp.up_proj
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- model.layers.13.mlp.up_proj
|
||||||
|
- model.layers.19.mlp.up_proj
|
||||||
|
# self_attn.k_proj layers
|
||||||
|
- model.layers.29.self_attn.k_proj
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|
- model.layers.25.self_attn.k_proj
|
||||||
|
- model.layers.23.self_attn.k_proj
|
||||||
|
- model.layers.28.self_attn.k_proj
|
||||||
|
- model.layers.21.self_attn.k_proj
|
||||||
|
- model.layers.19.self_attn.k_proj
|
||||||
|
- model.layers.22.self_attn.k_proj
|
||||||
|
- model.layers.20.self_attn.k_proj
|
||||||
|
- model.layers.24.self_attn.k_proj
|
||||||
|
- model.layers.31.self_attn.k_proj
|
||||||
|
- model.layers.27.self_attn.k_proj
|
||||||
|
- model.layers.26.self_attn.k_proj
|
||||||
|
- model.layers.17.self_attn.k_proj
|
||||||
|
- model.layers.11.self_attn.k_proj
|
||||||
|
- model.layers.18.self_attn.k_proj
|
||||||
|
- model.layers.14.self_attn.k_proj
|
||||||
|
# self_attn.o_proj layers
|
||||||
|
- model.layers.14.self_attn.o_proj
|
||||||
|
- model.layers.7.self_attn.o_proj
|
||||||
|
- model.layers.5.self_attn.o_proj
|
||||||
|
- model.layers.11.self_attn.o_proj
|
||||||
|
- model.layers.6.self_attn.o_proj
|
||||||
|
- model.layers.24.self_attn.o_proj
|
||||||
|
- model.layers.9.self_attn.o_proj
|
||||||
|
- model.layers.13.self_attn.o_proj
|
||||||
|
- model.layers.10.self_attn.o_proj
|
||||||
|
- model.layers.12.self_attn.o_proj
|
||||||
|
- model.layers.8.self_attn.o_proj
|
||||||
|
- model.layers.25.self_attn.o_proj
|
||||||
|
- model.layers.21.self_attn.o_proj
|
||||||
|
- model.layers.23.self_attn.o_proj
|
||||||
|
- model.layers.15.self_attn.o_proj
|
||||||
|
- model.layers.16.self_attn.o_proj
|
||||||
|
# self_attn.q_proj layers
|
||||||
|
- model.layers.8.self_attn.q_proj
|
||||||
|
- model.layers.13.self_attn.q_proj
|
||||||
|
- model.layers.9.self_attn.q_proj
|
||||||
|
- model.layers.14.self_attn.q_proj
|
||||||
|
- model.layers.10.self_attn.q_proj
|
||||||
|
- model.layers.11.self_attn.q_proj
|
||||||
|
- model.layers.0.self_attn.q_proj
|
||||||
|
- model.layers.15.self_attn.q_proj
|
||||||
|
- model.layers.1.self_attn.q_proj
|
||||||
|
- model.layers.6.self_attn.q_proj
|
||||||
|
- model.layers.5.self_attn.q_proj
|
||||||
|
- model.layers.7.self_attn.q_proj
|
||||||
|
- model.layers.12.self_attn.q_proj
|
||||||
|
- model.layers.16.self_attn.q_proj
|
||||||
|
- model.layers.17.self_attn.q_proj
|
||||||
|
- model.layers.26.self_attn.q_proj
|
||||||
|
# self_attn.v_proj layers
|
||||||
|
- model.layers.26.self_attn.v_proj
|
||||||
|
- model.layers.17.self_attn.v_proj
|
||||||
|
- model.layers.3.self_attn.v_proj
|
||||||
|
- model.layers.28.self_attn.v_proj
|
||||||
|
- model.layers.29.self_attn.v_proj
|
||||||
|
- model.layers.21.self_attn.v_proj
|
||||||
|
- model.layers.15.self_attn.v_proj
|
||||||
|
- model.layers.16.self_attn.v_proj
|
||||||
|
- model.layers.20.self_attn.v_proj
|
||||||
|
- model.layers.25.self_attn.v_proj
|
||||||
|
- model.layers.6.self_attn.v_proj
|
||||||
|
- model.layers.23.self_attn.v_proj
|
||||||
|
- model.layers.4.self_attn.v_proj
|
||||||
|
- model.layers.1.self_attn.v_proj
|
||||||
|
- model.layers.22.self_attn.v_proj
|
||||||
|
- model.layers.14.self_attn.v_proj
|
||||||
|
# mlp.gate_proj layers
|
||||||
|
- model.layers.1.mlp.gate_proj
|
||||||
|
- model.layers.2.mlp.gate_proj
|
||||||
|
- model.layers.3.mlp.gate_proj
|
||||||
|
- model.layers.4.mlp.gate_proj
|
||||||
|
- model.layers.0.mlp.gate_proj
|
||||||
|
- model.layers.25.mlp.gate_proj
|
||||||
|
- model.layers.26.mlp.gate_proj
|
||||||
|
- model.layers.5.mlp.gate_proj
|
||||||
|
- model.layers.24.mlp.gate_proj
|
||||||
|
- model.layers.28.mlp.gate_proj
|
||||||
|
- model.layers.23.mlp.gate_proj
|
||||||
|
- model.layers.27.mlp.gate_proj
|
||||||
|
- model.layers.21.mlp.gate_proj
|
||||||
|
- model.layers.22.mlp.gate_proj
|
||||||
|
- model.layers.29.mlp.gate_proj
|
||||||
|
- model.layers.20.mlp.gate_proj
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
dataset_prepared_path: /workspace/axolotl/dolph-2.9.4-nemo-prepared
|
||||||
|
val_set_size: 0.01
|
||||||
|
output_dir: /workspace/axolotl/dolphin-2.9.4-llama3.1-8b
|
||||||
|
|
||||||
|
sequence_len: 8192
|
||||||
|
sample_packing: true
|
||||||
|
pad_to_sequence_len: true
|
||||||
|
|
||||||
|
wandb_project: dolphin-2.9.4-llama3.1-8b
|
||||||
|
wandb_watch:
|
||||||
|
wandb_run_id:
|
||||||
|
wandb_log_model:
|
||||||
|
|
||||||
|
gradient_accumulation_steps: 16
|
||||||
|
micro_batch_size: 2
|
||||||
|
num_epochs: 3
|
||||||
|
optimizer: adamw_torch
|
||||||
|
lr_scheduler: cosine
|
||||||
|
learning_rate: 5e-6
|
||||||
|
train_on_inputs: false
|
||||||
|
group_by_length: false
|
||||||
|
bf16: auto
|
||||||
|
fp16:
|
||||||
|
tf32:
|
||||||
|
|
||||||
|
gradient_checkpointing: true
|
||||||
|
gradient_checkpointing_kwargs:
|
||||||
|
use_reentrant: false
|
||||||
|
early_stopping_patience:
|
||||||
|
resume_from_checkpoint:
|
||||||
|
logging_steps: 1
|
||||||
|
xformers_attention:
|
||||||
|
flash_attention: true
|
||||||
|
|
||||||
|
warmup_steps: 100
|
||||||
|
# evals_per_epoch: 4
|
||||||
|
eval_table_size:
|
||||||
|
saves_per_epoch: 1
|
||||||
|
save_total_limit: 2
|
||||||
|
save_steps:
|
||||||
|
debug:
|
||||||
|
deepspeed: deepspeed_configs/zero3_bf16.json
|
||||||
|
weight_decay: 0.1
|
||||||
|
special_tokens:
|
||||||
|
eos_token: "<|im_end|>"
|
||||||
|
bos_token: "<|begin_of_text|>"
|
||||||
|
pad_token: "<|finetune_right_pad_id|>"
|
||||||
|
tokens:
|
||||||
|
- "<|im_start|>"
|
||||||
|
|
||||||
|
|
||||||
|
# fsdp:
|
||||||
|
# - full_shard
|
||||||
|
# - auto_wrap
|
||||||
|
# fsdp_config:
|
||||||
|
# fsdp_limit_all_gathers: true
|
||||||
|
# fsdp_sync_module_states: true
|
||||||
|
# fsdp_offload_params: true
|
||||||
|
# fsdp_use_orig_params: false
|
||||||
|
# fsdp_cpu_ram_efficient_loading: true
|
||||||
|
# fsdp_transformer_layer_cls_to_wrap: MixtralSparseMoeBlock
|
||||||
|
# fsdp_state_dict_type: FULL_STATE_DICT
|
||||||
|
# fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP
|
||||||
|
# fsdp_sharding_strategy: FULL_SHARD
|
||||||
|
# fsdp_forward_prefetch: false
|
||||||
|
# fsdp_backward_prefetch: BACKWARD_PRE
|
||||||
|
```
|
||||||
|
|
||||||
|
</details><br>
|
||||||
|
|
||||||
|
# workspace/axolotl/dolphin-2.9.4-llama3.1-8b
|
||||||
|
|
||||||
|
This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on the None dataset.
|
||||||
|
It achieves the following results on the evaluation set:
|
||||||
|
- Loss: 0.5655
|
||||||
|
|
||||||
|
## Model description
|
||||||
|
|
||||||
|
More information needed
|
||||||
|
|
||||||
|
## Intended uses & limitations
|
||||||
|
|
||||||
|
More information needed
|
||||||
|
|
||||||
|
## Training and evaluation data
|
||||||
|
|
||||||
|
More information needed
|
||||||
|
|
||||||
|
## Training procedure
|
||||||
|
|
||||||
|
### Training hyperparameters
|
||||||
|
|
||||||
|
The following hyperparameters were used during training:
|
||||||
|
- learning_rate: 5e-06
|
||||||
|
- train_batch_size: 2
|
||||||
|
- eval_batch_size: 2
|
||||||
|
- seed: 42
|
||||||
|
- distributed_type: multi-GPU
|
||||||
|
- num_devices: 8
|
||||||
|
- gradient_accumulation_steps: 16
|
||||||
|
- total_train_batch_size: 256
|
||||||
|
- total_eval_batch_size: 16
|
||||||
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
||||||
|
- lr_scheduler_type: cosine
|
||||||
|
- lr_scheduler_warmup_steps: 100
|
||||||
|
- num_epochs: 3
|
||||||
|
|
||||||
|
### Training results
|
||||||
|
|
||||||
|
| Training Loss | Epoch | Step | Validation Loss |
|
||||||
|
|:-------------:|:------:|:----:|:---------------:|
|
||||||
|
| 0.5837 | 1.0180 | 1161 | 0.5814 |
|
||||||
|
| 0.5525 | 2.0179 | 2322 | 0.5671 |
|
||||||
|
| 0.5514 | 2.9624 | 3420 | 0.5655 |
|
||||||
|
|
||||||
|
|
||||||
|
### Framework versions
|
||||||
|
|
||||||
|
- Transformers 4.44.0.dev0
|
||||||
|
- Pytorch 2.4.0+cu121
|
||||||
|
- Datasets 2.19.1
|
||||||
|
- Tokenizers 0.19.1
|
||||||
|
|||||||
35
config.json
Normal file
35
config.json
Normal file
@@ -0,0 +1,35 @@
|
|||||||
|
{
|
||||||
|
"_name_or_path": "meta-llama/Meta-Llama-3.1-8B",
|
||||||
|
"architectures": [
|
||||||
|
"LlamaForCausalLM"
|
||||||
|
],
|
||||||
|
"attention_bias": false,
|
||||||
|
"attention_dropout": 0.0,
|
||||||
|
"bos_token_id": 128000,
|
||||||
|
"eos_token_id": [128001, 128008, 128009, 128256],
|
||||||
|
"hidden_act": "silu",
|
||||||
|
"hidden_size": 4096,
|
||||||
|
"initializer_range": 0.02,
|
||||||
|
"intermediate_size": 14336,
|
||||||
|
"max_position_embeddings": 131072,
|
||||||
|
"mlp_bias": false,
|
||||||
|
"model_type": "llama",
|
||||||
|
"num_attention_heads": 32,
|
||||||
|
"num_hidden_layers": 32,
|
||||||
|
"num_key_value_heads": 8,
|
||||||
|
"pretraining_tp": 1,
|
||||||
|
"rms_norm_eps": 1e-05,
|
||||||
|
"rope_scaling": {
|
||||||
|
"factor": 8.0,
|
||||||
|
"high_freq_factor": 4.0,
|
||||||
|
"low_freq_factor": 1.0,
|
||||||
|
"original_max_position_embeddings": 8192,
|
||||||
|
"rope_type": "llama3"
|
||||||
|
},
|
||||||
|
"rope_theta": 500000.0,
|
||||||
|
"tie_word_embeddings": false,
|
||||||
|
"torch_dtype": "bfloat16",
|
||||||
|
"transformers_version": "4.44.0.dev0",
|
||||||
|
"use_cache": false,
|
||||||
|
"vocab_size": 128258
|
||||||
|
}
|
||||||
1
configuration.json
Normal file
1
configuration.json
Normal file
@@ -0,0 +1 @@
|
|||||||
|
{"framework": "pytorch", "task": "others", "allow_remote": true}
|
||||||
9
generation_config.json
Normal file
9
generation_config.json
Normal file
@@ -0,0 +1,9 @@
|
|||||||
|
{
|
||||||
|
"_from_model_config": true,
|
||||||
|
"bos_token_id": 128000,
|
||||||
|
"do_sample": true,
|
||||||
|
"eos_token_id": [128001, 128008, 128009, 128256],
|
||||||
|
"temperature": 0.6,
|
||||||
|
"top_p": 0.9,
|
||||||
|
"transformers_version": "4.44.0.dev0"
|
||||||
|
}
|
||||||
3
model-00001-of-00004.safetensors
Normal file
3
model-00001-of-00004.safetensors
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:79c3df60bcc0c481f166d65e685f5a1e5c6e9b846f67d7cb476b2b267c17f3b9
|
||||||
|
size 135
|
||||||
3
model-00002-of-00004.safetensors
Normal file
3
model-00002-of-00004.safetensors
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:57152fab7ff8c285b7d50c70941f139ebc32f00a26b1b7b6e4ffcf6bbc0ba4a1
|
||||||
|
size 135
|
||||||
3
model-00003-of-00004.safetensors
Normal file
3
model-00003-of-00004.safetensors
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:7943a969ca2cafa86020e6be056955430e68117ac070309c8070e9d25c6ab612
|
||||||
|
size 135
|
||||||
3
model-00004-of-00004.safetensors
Normal file
3
model-00004-of-00004.safetensors
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:11a99634b76a25de6eacd96e8419e7a4ea0a1087f85db089f0d8c419813d6253
|
||||||
|
size 135
|
||||||
298
model.safetensors.index.json
Normal file
298
model.safetensors.index.json
Normal file
@@ -0,0 +1,298 @@
|
|||||||
|
{
|
||||||
|
"metadata": {
|
||||||
|
"total_size": 16060555264
|
||||||
|
},
|
||||||
|
"weight_map": {
|
||||||
|
"lm_head.weight": "model-00004-of-00004.safetensors",
|
||||||
|
"model.embed_tokens.weight": "model-00001-of-00004.safetensors",
|
||||||
|
"model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||||
|
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||||
|
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||||
|
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||||
|
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||||
|
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
||||||
|
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||||
|
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
||||||
|
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||||
|
"model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||||
|
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||||
|
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||||
|
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||||
|
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||||
|
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
||||||
|
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||||
|
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
||||||
|
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||||
|
"model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
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|
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|
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|
||||||
|
}
|
||||||
|
}
|
||||||
23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
|||||||
|
{
|
||||||
|
"bos_token": {
|
||||||
|
"content": "<|begin_of_text|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
},
|
||||||
|
"eos_token": {
|
||||||
|
"content": "<|im_end|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
},
|
||||||
|
"pad_token": {
|
||||||
|
"content": "<|finetune_right_pad_id|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
}
|
||||||
|
}
|
||||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:a9c5cd789d40eb50c3e811660a41958e2a3e5521876f9037d15326e516b14e49
|
||||||
|
size 9086034
|
||||||
2079
tokenizer_config.json
Normal file
2079
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
8013
trainer_state.json
Normal file
8013
trainer_state.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user