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UNA Dolphin 2.6 Mistral 7B DPO Laser by fblgit

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  Autotrain compatible   Dataset:ehartford/dolphin Dataset:ehartford/dolphin-code... Dataset:ise-uiuc/magicoder-evo... Dataset:ise-uiuc/magicoder-oss... Dataset:jondurbin/airoboros-2....   Dataset:ldjnr/capybara   Dataset:teknium/openhermes   En   Endpoints compatible   Instruct   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow

UNA Dolphin 2.6 Mistral 7B DPO Laser Benchmarks

ARC: 67.15-30.3%
HellaSwag: 86.31-9.4%
MMLU: 63.36-26.8%
TruthfulQA: 64.158.7%
WinoGrande: 79.24-9.4%
GSM8K: 44.35-51.8%
nn.n% — How the model compares to the GPT-4.

UNA Dolphin 2.6 Mistral 7B DPO Laser Parameters and Internals

LLM NameUNA Dolphin 2.6 Mistral 7B DPO Laser
RepositoryOpen on 🤗 
Model Size7b
Required VRAM14.4 GB
Updated2024-07-27
Maintainerfblgit
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<|im_end|>
Vocabulary Size32001
Torch Data Typebfloat16
UNA Dolphin 2.6 Mistral 7B DPO Laser (fblgit/UNA-dolphin-2.6-mistral-7b-dpo-laser)

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...1 Summarize 64K LoRANET Merged0.2128K / 14.4 GB2320
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Mistral 7B Instruct V0.10.532K / 14.4 GB4256091476
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Note: green Score (e.g. "73.2") means that the model is better than fblgit/UNA-dolphin-2.6-mistral-7b-dpo-laser.

Rank the UNA Dolphin 2.6 Mistral 7B DPO Laser Capabilities

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072501
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