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README.md
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---
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base_model: alpindale/Mistral-7B-v0.2-hf
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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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base_model: alpindale/Mistral-7B-v0.2-hf
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language:
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- en
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license: apache-2.0
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datasets:
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- cognitivecomputations/dolphin
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- cognitivecomputations/dolphin-coder
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- cognitivecomputations/samantha-data
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- jondurbin/airoboros-2.2.1
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- teknium/openhermes-2.5
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- m-a-p/Code-Feedback
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- m-a-p/CodeFeedback-Filtered-Instruction
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---
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# Dolphin 2.8 Mistral 7b v0.2 🐬
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By Eric Hartford and Cognitive Computations
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Discord: https://discord.gg/8fbBeC7ZGx
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<img src="https://cdn-uploads.huggingface.co/production/uploads/63111b2d88942700629f5771/ldkN1J0WIDQwU4vutGYiD.png" width="600" />
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My appreciation for the sponsors of Dolphin 2.8:
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- [Crusoe Cloud](https://crusoe.ai/) - provided excellent on-demand 10xL40S node
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- [Winston Sou](https://twitter.com/WinsonDabbles) - Along with a generous anonymous sponsor, donated a massive personally owned compute resource!
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- [Abacus AI](https://abacus.ai/) - my employer and partner in many things.
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This model is based on [Mistral-7b-v0.2](https://huggingface.co/alpindale/Mistral-7B-v0.2-hf) a new base model released by MistralAI on March 23, 2024 but they have not yet published on HuggingFace. Thanks to @alpindale for converting / publishing.
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The base model has 32k context, and the fine-tune was with 16k sequence lengths.
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Dolphin-2.8 has a variety of instruction, conversational, and coding skills.
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# Evals
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```
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{
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"arc_challenge": {
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"acc,none": 0.5921501706484642,
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"acc_stderr,none": 0.014361097288449701,
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"acc_norm,none": 0.6339590443686007,
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"acc_norm_stderr,none": 0.014077223108470139
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},
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"gsm8k": {
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"exact_match,strict-match": 0.4783927217589083,
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"exact_match_stderr,strict-match": 0.013759618667051773,
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"exact_match,flexible-extract": 0.5367702805155421,
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"exact_match_stderr,flexible-extract": 0.013735191956468648
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},
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"hellaswag": {
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"acc,none": 0.6389165504879506,
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"acc_stderr,none": 0.004793330525656218,
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"acc_norm,none": 0.8338976299541924,
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"acc_norm_stderr,none": 0.00371411888431746
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},
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"mmlu": {
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"acc,none": 0.6122347243982339,
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"acc_stderr,none": 0.003893774654142997
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},
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"truthfulqa_mc2": {
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"acc,none": 0.5189872652778472,
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"acc_stderr,none": 0.014901128316426086
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},
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"winogrande": {
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"acc,none": 0.7971586424625099,
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"acc_stderr,none": 0.011301439925936643
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}
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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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