Mistral 2x7b V0.1 by HachiML

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  Autotrain compatible Base model:merge:mistralai/mis... Base model:merge:nvidia/openma... Base model:mistralai/mistral-7... Base model:nvidia/openmath-mis...   Endpoints compatible   Instruct   Merge   Mergekit Mistralai/mistral-7b-instruct-...   Mixtral   Mixture of experts   Moe Nvidia/openmath-mistral-7b-v0....   Region:us   Safetensors   Sharded   Tensorflow

Mistral 2x7b V0.1 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 2x7b V0.1 (HachiML/mistral_2x7b_v0.1)

Mistral 2x7b V0.1 Parameters and Internals

Model Type 
mixture of experts, moe, merge, mergekit
LLM NameMistral 2x7b V0.1
Repository ๐Ÿค—https://huggingface.co/HachiML/mistral_2x7b_v0.1 
Base Model(s)  mistralai/Mistral-7B-Instruct-v0.2   nvidia/OpenMath-Mistral-7B-v0.1-hf   mistralai/Mistral-7B-Instruct-v0.2   nvidia/OpenMath-Mistral-7B-v0.1-hf
Model Size12.9b
Required VRAM25.8 GB
Updated2024-12-14
MaintainerHachiML
Model Typemixtral
Instruction-BasedYes
Model Files  10.0 GB: 1-of-3   9.9 GB: 2-of-3   5.9 GB: 3-of-3
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than HachiML/mistral_2x7b_v0.1.

Rank the Mistral 2x7b V0.1 Capabilities

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124