Dolphin 2.6 Mixtral 8x7b AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq Base model:cognitivecomputatio...   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   Instruct   License:apache-2.0   Mixtral   Moe   Quantized   Region:us   Safetensors   Sharded   Tensorflow

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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  
Dolphin 2.6 Mixtral 8x7b AWQ (TheBloke/dolphin-2.6-mixtral-8x7b-AWQ)

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/dolphin-2.6-mixtral-8x7b-AWQ.

Dolphin 2.6 Mixtral 8x7b AWQ Parameters and Internals

LLM NameDolphin 2.6 Mixtral 8x7b AWQ
RepositoryOpen on ๐Ÿค— 
Model NameDolphin 2.6 Mixtral 8X7B
Model CreatorCognitive Computations
Base Model(s)  Dolphin 2.6 Mixtral 8x7b   cognitivecomputations/dolphin-2.6-mixtral-8x7b
Model Size6.5b
Required VRAM24.7 GB
Updated2024-07-01
MaintainerTheBloke
Model Typemixtral
Instruction-BasedYes
Model Files  10.0 GB: 1-of-3   10.0 GB: 2-of-3   4.7 GB: 3-of-3
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Initializer Range0.02
Torch Data Typefloat16

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024042801