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Mixtral 8x7B Instruct V0.1 4bit by cmarkea

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Mixtral 8x7B Instruct V0.1 4bit is an open-source language model by cmarkea. Features: 48.2b LLM, VRAM: 24.5GB, Context: 32K, License: apache-2.0, MoE, Quantized, Instruction-Based, LLM Explorer Score: 0.11.

  4-bit   4bit   Bitsandbytes   Conversational   De   En   Endpoints compatible   Es   Fr   Instruct   It   Mixtral   Moe   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/cmarkea/Mixtral-8x7B-Instruct-v0.1-4bit 

Mixtral 8x7B Instruct V0.1 4bit Benchmarks

LLME Score: 0.11438
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 4bit (cmarkea/Mixtral-8x7B-Instruct-v0.1-4bit)
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Mixtral 8x7B Instruct V0.1 4bit Parameters and Internals

Model Type 
moe
Use Cases 
Areas:
Research, Commercial Applications
Applications:
General Purpose AI
Primary Use Cases:
Text Generation, Instruction Following
Supported Languages 
en (High), fr (High), de (High), es (High), it (High)
Training Details 
Methodology:
Quantized using bitsandbytes
Input Output 
Input Format:
~~[INST] {user_prompt} [/INST]
Accepted Modalities:
text
Output Format:
model_answer
LLM NameMixtral 8x7B Instruct V0.1 4bit
Repository 🤗https://huggingface.co/cmarkea/Mixtral-8x7B-Instruct-v0.1-4bit 
Model Size48.2b
Required VRAM24.5 GB
Updated2026-05-10
Maintainercmarkea
Model Typemixtral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-5   5.0 GB: 2-of-5   5.0 GB: 3-of-5   5.0 GB: 4-of-5   4.5 GB: 5-of-5
Supported Languagesen fr de es it
Quantization Type4bit
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

Best Alternatives to Mixtral 8x7B Instruct V0.1 4bit

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Context / RAM
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...al 8x7B Instruct V0.1 4bit Bnb32K / 24.5 GB31
...ixtral Instruction V0.1 Zh Nf432K / 24.5 GB50
...tral 8x7b Instruct V0.1 Q4b Wa32K / 24.5 GB540
Note: green Score (e.g. "73.2") means that the model is better than cmarkea/Mixtral-8x7B-Instruct-v0.1-4bit.

Rank the Mixtral 8x7B Instruct V0.1 4bit 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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