Mistral 7B V0.2 Csn SFT by dmitrii-a-lex

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Mistral 7B V0.2 Csn SFT is an open-source language model by dmitrii-a-lex. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, Quantized, Instruction-Based, LLM Explorer Score: 0.13.

  Arxiv:1910.09700   Conversational   Endpoints compatible   F16   Ggml   Gguf   Instruct   Mistral   Q6   Quantized   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl

Mistral 7B V0.2 Csn SFT Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mistral 7B V0.2 Csn SFT Parameters and Internals

LLM NameMistral 7B V0.2 Csn SFT
Repository 🤗https://huggingface.co/dmitrii-a-lex/Mistral-7B-v0.2-csn-SFT 
Base Model(s)  macadeliccc/Mistral-7B-v0.2-st   macadeliccc/Mistral-7B-v0.2-st
Model Size7b
Required VRAM14.4 GB
Updated2026-05-12
Maintainerdmitrii-a-lex
Model Typemistral
Instruction-BasedYes
Model Files  29.0 GB   14.5 GB   5.9 GB   7.7 GB   9.9 GB: 1-of-2   4.5 GB: 2-of-2
GGML QuantizationYes
GGUF QuantizationYes
Quantization Typeggml|q6|gguf
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.42.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than dmitrii-a-lex/Mistral-7B-v0.2-csn-SFT.

Rank the Mistral 7B V0.2 Csn SFT 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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Release v20260328a