Mistral 2x7b V0.1 by HachiML

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Mistral 2x7b V0.1 is an open-source language model by HachiML. Features: 12.9b LLM, VRAM: 25.8GB, Context: 32K, License: apache-2.0, MoE, Instruction-Based, LLM Explorer Score: 0.13.

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 Parameters and Internals

Model Type 
mixture of experts, moe, merge, mergekit
LLM NameMistral 2x7b V0.1
Repository 🤗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
Updated2026-05-17
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

Best Alternatives to Mistral 2x7b V0.1

Best Alternatives
Context / RAM
Downloads
Likes
Inf Silent Kunoichi V0.1 2x7B32K / 25.6 GB60
Inf Silent Kunoichi V0.2 2x7B32K / 25.6 GB101
NearalMistral 2x7B32K / 25.8 GB691
Megatron V3 2x7B32K / 25.8 GB713
MistarlingMaid 2x7B Base32K / 25.8 GB940
MergedExpert 2x8b32K / 25.8 GB50
MergedExperts 2x8b32K / 25.8 GB60
...afted Hermetic Platypus C 2x7B32K / 25.8 GB940
...tral 7B Instruct V0.2 2x7B MoE32K / 25.8 GB11314
...tral Instruct MoE Experimental32K / 25.8 GB1002
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

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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  

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Release v20260328a