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Mixtral 8x7b Instruct V0.1 Agent Function Calling by zember

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  Autotrain compatible   Conversational   Endpoints compatible   Instruct   Mixtral   Moe   Pytorch   Region:us   Sharded

Mixtral 8x7b Instruct V0.1 Agent Function Calling Benchmarks

LLME Score: 0.19031
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mixtral 8x7b Instruct V0.1 Agent Function Calling Parameters and Internals

LLM NameMixtral 8x7b Instruct V0.1 Agent Function Calling
Repository 🤗https://huggingface.co/zember/mixtral-8x7b-instruct-v0.1-agent-function-calling 
Required VRAM44.3 GB
Updated2024-09-07
Maintainerzember
Model Typemixtral
Instruction-BasedYes
Model Files  0.9 GB: 1-of-98   0.9 GB: 2-of-98   0.9 GB: 3-of-98   0.9 GB: 4-of-98   0.9 GB: 5-of-98   0.9 GB: 6-of-98   0.9 GB: 7-of-98   0.9 GB: 8-of-98   0.9 GB: 9-of-98   0.9 GB: 10-of-98   0.9 GB: 11-of-98   0.9 GB: 12-of-98   0.9 GB: 13-of-98   0.9 GB: 14-of-98   0.9 GB: 15-of-98   0.9 GB: 16-of-98   0.9 GB: 17-of-98   0.9 GB: 18-of-98   1.0 GB: 19-of-98   1.0 GB: 20-of-98   0.9 GB: 21-of-98   1.0 GB: 22-of-98   1.0 GB: 23-of-98   0.9 GB: 24-of-98   1.0 GB: 25-of-98   1.0 GB: 26-of-98   0.9 GB: 27-of-98   1.0 GB: 28-of-98   1.0 GB: 29-of-98   0.9 GB: 30-of-98   1.0 GB: 31-of-98   1.0 GB: 32-of-98   0.9 GB: 33-of-98   1.0 GB: 34-of-98   1.0 GB: 35-of-98   0.9 GB: 36-of-98   1.0 GB: 37-of-98   1.0 GB: 38-of-98   0.9 GB: 39-of-98   1.0 GB: 40-of-98   1.0 GB: 41-of-98   0.9 GB: 42-of-98   1.0 GB: 43-of-98   1.0 GB: 44-of-98   0.9 GB: 45-of-98   1.0 GB: 46-of-98   1.0 GB: 47-of-98
Model ArchitectureMixtralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Vocabulary Size32000
Torch Data Typebfloat16
Mixtral 8x7b Instruct V0.1 Agent Function Calling (zember/mixtral-8x7b-instruct-v0.1-agent-function-calling)

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Note: green Score (e.g. "73.2") means that the model is better than zember/mixtral-8x7b-instruct-v0.1-agent-function-calling.

Rank the Mixtral 8x7b Instruct V0.1 Agent Function Calling Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
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Release v2024072803
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