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Dolphin 2.6.1 Mixtral 8x7b by cognitivecomputations

 »  All LLMs  »  cognitivecomputations  »  Dolphin 2.6.1 Mixtral 8x7b   URL Share it on

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  Autotrain compatible   Conversational   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   Mixtral   Moe   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/cognitivecomputations/dolphin-2.6.1-mixtral-8x7b 

Dolphin 2.6.1 Mixtral 8x7b Benchmarks

LLME Score: 0.14278
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Dolphin 2.6.1 Mixtral 8x7b (cognitivecomputations/dolphin-2.6.1-mixtral-8x7b)

Dolphin 2.6.1 Mixtral 8x7b Parameters and Internals

LLM NameDolphin 2.6.1 Mixtral 8x7b
Repository 🤗https://huggingface.co/cognitivecomputations/dolphin-2.6.1-mixtral-8x7b 
Required VRAM93.6 GB
Updated2025-05-16
Maintainercognitivecomputations
Model Typemixtral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-19   5.0 GB: 2-of-19   5.0 GB: 3-of-19   4.9 GB: 4-of-19   5.0 GB: 5-of-19   5.0 GB: 6-of-19   4.9 GB: 7-of-19   5.0 GB: 8-of-19   5.0 GB: 9-of-19   4.9 GB: 10-of-19   5.0 GB: 11-of-19   5.0 GB: 12-of-19   5.0 GB: 13-of-19   4.9 GB: 14-of-19   5.0 GB: 15-of-19   5.0 GB: 16-of-19   4.9 GB: 17-of-19   5.0 GB: 18-of-19   4.2 GB: 19-of-19
Supported Languagesen
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typebfloat16

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Mixtral 8x7B Instruct V0.132K /  GB140
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Dolphin 2.6 Mixtral 8x7b32K / 93.6 GB84209
...ct V0.1 Agent Function Calling32K / 44.3 GB72
...tral 8x7B Instruct V0.1 Polish32K / 93.6 GB291
Note: green Score (e.g. "73.2") means that the model is better than cognitivecomputations/dolphin-2.6.1-mixtral-8x7b.

Rank the Dolphin 2.6.1 Mixtral 8x7b Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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