Dolphin 2.6 Mixtral 8x7b by cognitivecomputations

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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   License:apache-2.0   Mixtral   Moe   Pytorch   Region:us   Sharded

Rank the Dolphin 2.6 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  
Dolphin 2.6 Mixtral 8x7b (cognitivecomputations/dolphin-2.6-mixtral-8x7b)

Quantized Models of the Dolphin 2.6 Mixtral 8x7b

Model
Likes
Downloads
VRAM
Dolphin 2.6 Mixtral 8x7b GGUF44757015 GB
Dolphin 2.6 Mixtral 8x7b AWQ132524 GB
Dolphin 2.6 Mixtral 8x7b GPTQ61023 GB

Best Alternatives to Dolphin 2.6 Mixtral 8x7b

Best Alternatives
HF Rank
Context/RAM
Downloads
Likes
...es Mixtral 8x7B 2.4bpw H6 EXL268.232K / 14.3 GB12
...es Mixtral 8x7B 3.0bpw H6 EXL268.232K / 17.8 GB11
Notux 8x7b V1.3.5bpw EXL268.232K / 20.7 GB12
Notux 8x7b V1.3.5bpw H6 EXL268.232K / 20.7 GB11
...es Mixtral 8x7B 6.0bpw H6 EXL268.232K / 35.3 GB11
...ixtral 8x7B Instruct V0.1 GGUF68.232K / 17.3 GB4415
...eqlen 4096 Bs 4 Optimum 0 0 2332K /  GB2291
...al 8x7B Instruct V0.1 GPT Fast32K /  GB21
...eqlen 4096 Bs 4 Optimum 0 0 2332K /  GB1780
Mixtral 8x7B Instruct V0.132K /  GB50
Note: green Score (e.g. "73.2") means that the model is better than cognitivecomputations/dolphin-2.6-mixtral-8x7b.

Dolphin 2.6 Mixtral 8x7b Parameters and Internals

LLM NameDolphin 2.6 Mixtral 8x7b
RepositoryOpen on ๐Ÿค— 
Required VRAM93.6 GB
Updated2024-07-04
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 Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Initializer Range0.02
Torch Data Typebfloat16

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