Dolphin 2.7 Mixtral 8x7b GGUF by TheBloke

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Base model:cognitivecomputatio... Base model:quantized:cognitive...   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   Gguf   Instruct   Mixtral   Moe   Quantized   Region:us

Dolphin 2.7 Mixtral 8x7b GGUF Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Dolphin 2.7 Mixtral 8x7b GGUF Parameters and Internals

LLM NameDolphin 2.7 Mixtral 8x7b GGUF
Repository ๐Ÿค—https://huggingface.co/TheBloke/dolphin-2.7-mixtral-8x7b-GGUF 
Model NameDolphin 2.7 Mixtral 8X7B
Model CreatorCognitive Computations
Base Model(s)  cognitivecomputations/dolphin-2.7-mixtral-8x7b   cognitivecomputations/dolphin-2.7-mixtral-8x7b
Required VRAM15.6 GB
Updated2024-11-21
MaintainerTheBloke
Model Typemixtral
Instruction-BasedYes
Model Files  15.6 GB   20.4 GB   26.4 GB   26.4 GB   32.2 GB   32.2 GB   38.4 GB   49.6 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseapache-2.0
Dolphin 2.7 Mixtral 8x7b GGUF (TheBloke/dolphin-2.7-mixtral-8x7b-GGUF)

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/dolphin-2.7-mixtral-8x7b-GGUF.

Rank the Dolphin 2.7 Mixtral 8x7b GGUF 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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110