Mistral Finetune 16bit Ver9 Main GPTQ by obamaTeo

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Mistral Finetune 16bit Ver9 Main GPTQ is an open-source language model by obamaTeo. Features: 1.2b LLM, VRAM: 4.2GB, Context: 32K, Quantized, Fine-Tuned, LLM Explorer Score: 0.13.

  Arxiv:1910.09700   16bit   4-bit   Autotrain compatible   Conversational   Endpoints compatible   Finetuned   Gptq   Mistral   Quantized   Region:us   Safetensors

Mistral Finetune 16bit Ver9 Main GPTQ Benchmarks

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

Mistral Finetune 16bit Ver9 Main GPTQ Parameters and Internals

LLM NameMistral Finetune 16bit Ver9 Main GPTQ
Repository 🤗https://huggingface.co/obamaTeo/mistral-finetune-16bit-ver9-main-GPTQ 
Model Size1.2b
Required VRAM4.2 GB
Updated2025-09-23
MaintainerobamaTeo
Model Typemistral
Model Files  4.2 GB
GPTQ QuantizationYes
Quantization Typegptq|16bit
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.40.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than obamaTeo/mistral-finetune-16bit-ver9-main-GPTQ.

Rank the Mistral Finetune 16bit Ver9 Main GPTQ 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