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Model: dphn/dolphin-2.9.3-mistral-7B-32k Source: Original Platform
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288
README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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- axolotl
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base_model: mistralai/Mistral-7B-v0.3
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datasets:
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- cognitivecomputations/Dolphin-2.9
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- teknium/OpenHermes-2.5
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- m-a-p/CodeFeedback-Filtered-Instruction
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- cognitivecomputations/dolphin-coder
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- cognitivecomputations/samantha-data
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- microsoft/orca-math-word-problems-200k
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- Locutusque/function-calling-chatml
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- internlm/Agent-FLAN
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model-index:
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- name: dolphin-2.9.3-mistral-7B-32k
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results:
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: IFEval (0-Shot)
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type: HuggingFaceH4/ifeval
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args:
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num_few_shot: 0
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metrics:
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- type: inst_level_strict_acc and prompt_level_strict_acc
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value: 41.26
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name: strict accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=cognitivecomputations/dolphin-2.9.3-mistral-7B-32k
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: BBH (3-Shot)
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type: BBH
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args:
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num_few_shot: 3
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metrics:
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- type: acc_norm
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value: 26.91
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=cognitivecomputations/dolphin-2.9.3-mistral-7B-32k
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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||||||
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name: Text Generation
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dataset:
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name: MATH Lvl 5 (4-Shot)
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type: hendrycks/competition_math
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args:
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num_few_shot: 4
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metrics:
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- type: exact_match
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value: 4.83
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||||||
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name: exact match
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=cognitivecomputations/dolphin-2.9.3-mistral-7B-32k
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: GPQA (0-shot)
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type: Idavidrein/gpqa
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args:
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num_few_shot: 0
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metrics:
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||||||
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- type: acc_norm
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||||||
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value: 4.7
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||||||
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name: acc_norm
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source:
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||||||
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=cognitivecomputations/dolphin-2.9.3-mistral-7B-32k
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||||||
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name: Open LLM Leaderboard
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||||||
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- task:
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||||||
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type: text-generation
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||||||
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name: Text Generation
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||||||
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dataset:
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||||||
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name: MuSR (0-shot)
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type: TAUR-Lab/MuSR
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args:
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num_few_shot: 0
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metrics:
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||||||
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- type: acc_norm
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||||||
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value: 17.93
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||||||
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name: acc_norm
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||||||
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source:
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||||||
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=cognitivecomputations/dolphin-2.9.3-mistral-7B-32k
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||||||
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name: Open LLM Leaderboard
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||||||
|
- task:
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||||||
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type: text-generation
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||||||
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name: Text Generation
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dataset:
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name: MMLU-PRO (5-shot)
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type: TIGER-Lab/MMLU-Pro
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config: main
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split: test
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args:
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num_few_shot: 5
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metrics:
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||||||
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- type: acc
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||||||
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value: 20.23
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name: accuracy
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||||||
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source:
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||||||
|
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=cognitivecomputations/dolphin-2.9.3-mistral-7B-32k
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||||||
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name: Open LLM Leaderboard
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||||||
|
---
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# Dolphin 2.9.3 Mistral 7b v0.3 32k 🐬
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Curated and trained by Eric Hartford and Cognitive Computations
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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 2.9.3:
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- [Crusoe Cloud](https://crusoe.ai/) - provided excellent on-demand 8xH100 node
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- [OnDemand](https://on-demand.io/) - provided inference sponsorship
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This model is based on mistralai/Mistral-7B-v0.3, and is governed by the apache 2.0 license.
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The base model has 32k context, and our finetuning took place with 8192 sequence length.
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Dolphin 2.9.3 uses ChatML prompt template format.
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example:
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||||||
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```
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<|im_start|>system
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You are Dolphin, a helpful AI assistant.<|im_end|>
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<|im_start|>user
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{prompt}<|im_end|>
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<|im_start|>assistant
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```
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Dolphin-2.9.3 has a variety of instruction following, conversational, and coding skills. It also has initial agentic abilities and supports function calling.
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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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Dolphin is licensed according to apache 2.0 license. We grant permission for any use, including commercial. Dolphin was trained on data generated from GPT4, among other models.
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## Evals
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|
|
||||||
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## Training
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||||||
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||||||
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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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||||||
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axolotl version: `0.4.0`
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```yaml
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base_model: mistralai/Mistral-7B-v0.3
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model_type: AutoModelForCausalLM
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tokenizer_type: AutoTokenizer
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|
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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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datasets:
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- path: /workspace/datasets/dolphin-2.9.3/dolphin201-sharegpt2.jsonl
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type: sharegpt
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conversation: chatml
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- path: /workspace/datasets/dolphin-2.9.3/SystemChat_filtered_sharegpt.jsonl
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type: sharegpt
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conversation: chatml
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- path: /workspace/datasets/dolphin-2.9.3/SystemChat_multilingual_sharegpt.jsonl
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type: sharegpt
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conversation: chatml
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- path: /workspace/datasets/dolphin-2.9.3/dolphin-coder-translate-sharegpt2.jsonl
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type: sharegpt
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||||||
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conversation: chatml
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||||||
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- path: /workspace/datasets/dolphin-2.9.3/dolphin-coder-codegen-sharegpt2.jsonl
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type: sharegpt
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conversation: chatml
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- path: /workspace/datasets/dolphin-2.9.3/m-a-p_Code-Feedback-sharegpt-unfiltered.jsonl
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type: sharegpt
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conversation: chatml
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- path: /workspace/datasets/dolphin-2.9.3/m-a-p_CodeFeedback-Filtered-Instruction-sharegpt-unfiltered.jsonl
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type: sharegpt
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conversation: chatml
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- path: /workspace/datasets/dolphin-2.9.3/not_samantha_norefusals.jsonl
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type: sharegpt
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conversation: chatml
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||||||
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- path: /workspace/datasets/dolphin-2.9.3/Orca-Math-resort-unfiltered.jsonl
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type: sharegpt
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conversation: chatml
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||||||
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- path: /workspace/datasets/dolphin-2.9.3/agent_instruct_react_unfiltered.jsonl
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type: sharegpt
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conversation: chatml
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||||||
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- path: /workspace/datasets/dolphin-2.9.3/toolbench_instruct_j1s1_3k_unfiltered.jsonl
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type: sharegpt
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conversation: chatml
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||||||
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- path: /workspace/datasets/dolphin-2.9.3/toolbench_negative_unfiltered.jsonl
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type: sharegpt
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conversation: chatml
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||||||
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- path: /workspace/datasets/dolphin-2.9.3/toolbench_react_10p_unfiltered.jsonl
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type: sharegpt
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conversation: chatml
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- path: /workspace/datasets/dolphin-2.9.3/toolbench_tflan_cot_30p_unfiltered.jsonl
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type: sharegpt
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conversation: chatml
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- path: /workspace/datasets/dolphin-2.9.3/openhermes200k_unfiltered.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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# lora_alpha: 16
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# lora_modules_to_save: [embed_tokens, lm_head]
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# lora_dropout: 0.05
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# lora_target_linear: true
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dataset_prepared_path: /workspace/axolotl/dolph-2.9.3-prepared
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val_set_size: 0.01
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output_dir: /workspace/axolotl/dolphin-2.9.3-mistral-7B
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sequence_len: 8192
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sample_packing: true
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pad_to_sequence_len: true
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wandb_project: dolphin-2.9.3-Mistral-7B
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wandb_watch:
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wandb_run_id:
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wandb_log_model:
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|
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gradient_accumulation_steps: 16
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micro_batch_size: 1
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num_epochs: 3
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optimizer: adamw_8bit
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lr_scheduler: cosine
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learning_rate: 5e-6
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train_on_inputs: false
|
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group_by_length: false
|
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bf16: auto
|
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fp16:
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tf32:
|
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|
|
||||||
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gradient_checkpointing: true
|
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gradient_checkpointing_kwargs:
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use_reentrant: false
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early_stopping_patience:
|
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resume_from_checkpoint:
|
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logging_steps: 1
|
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|
xformers_attention:
|
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flash_attention: true
|
||||||
|
|
||||||
|
warmup_steps: 100
|
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|
# evals_per_epoch: 4
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eval_table_size:
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saves_per_epoch: 1
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save_total_limit: 2
|
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save_steps:
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debug:
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deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16.json
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weight_decay: 0.1
|
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fsdp:
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fsdp_config:
|
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special_tokens:
|
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eos_token: "<|im_end|>"
|
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tokens:
|
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- "<|im_start|>"
|
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|
|
||||||
|
```
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|
|
||||||
|
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
|
||||||
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_cognitivecomputations__dolphin-2.9.3-mistral-7B-32k)
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|
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| Metric |Value|
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|
|-------------------|----:|
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||||||
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|Avg. |19.31|
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|IFEval (0-Shot) |41.26|
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||||||
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|BBH (3-Shot) |26.91|
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|MATH Lvl 5 (4-Shot)| 4.83|
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||||||
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|GPQA (0-shot) | 4.70|
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||||||
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|MuSR (0-shot) |17.93|
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|MMLU-PRO (5-shot) |20.23|
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|
|
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4
added_tokens.json
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4
added_tokens.json
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{
|
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"<|im_end|>": 32768,
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|
"<|im_start|>": 32769
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}
|
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26
config.json
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config.json
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|
{
|
||||||
|
"_name_or_path": "mistralai/Mistral-7B-v0.3",
|
||||||
|
"architectures": [
|
||||||
|
"MistralForCausalLM"
|
||||||
|
],
|
||||||
|
"attention_dropout": 0.0,
|
||||||
|
"bos_token_id": 1,
|
||||||
|
"eos_token_id": [32768, 2],
|
||||||
|
"hidden_act": "silu",
|
||||||
|
"hidden_size": 4096,
|
||||||
|
"initializer_range": 0.02,
|
||||||
|
"intermediate_size": 14336,
|
||||||
|
"max_position_embeddings": 32768,
|
||||||
|
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|
||||||
|
}
|
||||||
24
special_tokens_map.json
Normal file
24
special_tokens_map.json
Normal file
@@ -0,0 +1,24 @@
|
|||||||
|
{
|
||||||
|
"bos_token": {
|
||||||
|
"content": "<s>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
},
|
||||||
|
"eos_token": {
|
||||||
|
"content": "<|im_end|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
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|
||||||
|
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|
||||||
|
},
|
||||||
|
"pad_token": "</s>",
|
||||||
|
"unk_token": {
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"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:e163db1382ba17c4c5d545829ff457413600a6aa61f507d23028cd3592682b7e
|
||||||
|
size 1961923
|
||||||
3
tokenizer.model
Normal file
3
tokenizer.model
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:37f00374dea48658ee8f5d0f21895b9bc55cb0103939607c8185bfd1c6ca1f89
|
||||||
|
size 587404
|
||||||
6203
tokenizer_config.json
Normal file
6203
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user