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Mixtral 8x7B Instruct V0.1 4bit by cmarkea

 »  All LLMs  »  cmarkea  »  Mixtral 8x7B Instruct V0.1 4bit   URL Share it on

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Model Card on HF 🤗: https://huggingface.co/cmarkea/Mixtral-8x7B-Instruct-v0.1-4bit 

Mixtral 8x7B Instruct V0.1 4bit Benchmarks

LLME Score: 0.16368
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)

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 Size24.2b
Required VRAM24.5 GB
Updated2025-02-22
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

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...al 8x7B Instruct V0.1 4bit Bnb32K / 24.5 GB81
...al 8x7B Instruct V0.1 Bnb 4bit32K / 26.7 GB19659
Proto Athena 4x7B32K / 48.4 GB150
Proto Athena V0.2 4x7B32K / 48.4 GB80
...erges MoE 4x7b V10 Mixtralv0.332K / 48.3 GB120
MoE Merging32K / 48.3 GB17260
Sixtyoneeighty 4x7B V132K / 48.3 GB240
MixtureofMerges MoE 4x7bRP V1132K / 48.3 GB111
...icon Mixtral87 Merged Torch21232K / 26.7 GB50
Eclipse Mistral 4x7b32K / 48.5 GB161
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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Release v20241227
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