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Mistral 7B Instruct 1.58bit by lachiewyoung

 »  All LLMs  »  lachiewyoung  »  Mistral 7B Instruct 1.58bit   URL Share it on

  5   
  Arxiv:2310.06825   Autotrain compatible   Conversational   Endpoints compatible   Finetuned   Instruct   Mistral   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/lachiewyoung/mistral-7b-instruct-1.58bit 

Mistral 7B Instruct 1.58bit Benchmarks

LLME Score: 0.14137
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B Instruct 1.58bit (lachiewyoung/mistral-7b-instruct-1.58bit)
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Mistral 7B Instruct 1.58bit Parameters and Internals

Model Type 
transformer
Input Output 
Input Format:
[INST] <instruction> [/INST]
LLM NameMistral 7B Instruct 1.58bit
Repository 🤗https://huggingface.co/lachiewyoung/mistral-7b-instruct-1.58bit 
Model Size7b
Required VRAM29 GB
Updated2025-09-23
Maintainerlachiewyoung
Model Typemistral
Instruction-BasedYes
Model Files  9.9 GB: 1-of-3   10.0 GB: 2-of-3   9.1 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Mistral 7B Instruct 1.58bit

Model
Likes
Downloads
VRAM
Mistral 7B Instruct V0.2 4bit11334 GB
Mistral 7B Instruct V0.2 8bit1137 GB

Best Alternatives to Mistral 7B Instruct 1.58bit

Best Alternatives
Context / RAM
Downloads
Likes
...Nemo Instruct 2407 Abliterated1000K / 24.5 GB14118
SpydazWeb AI HumanAI RP512K / 14.4 GB171
SpydazWeb AI HumanAI 002512K / 14.4 GB181
...daz Web AI ChatML 512K Project512K / 14.5 GB120
... Summarize 64K QLoRANET Merged128K / 4.1 GB60
...1 Summarize 64K LoRANET Merged128K / 14.4 GB110
Mistral 7B Instruct V0.232K / 14.4 GB33160952630
Mistral 7B Instruct V0.132K / 14.4 GB1533091797
Seed X Instruct 7B32K / 15 GB1510123
Mixtral AI CyberCoder32K / 14.3 GB00
Note: green Score (e.g. "73.2") means that the model is better than lachiewyoung/mistral-7b-instruct-1.58bit.

Rank the Mistral 7B Instruct 1.58bit Capabilities

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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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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