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Finchat298 Mistral7B FT 650 by gkMSDA

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Finchat298 Mistral7B FT 650 is an open-source language model by gkMSDA. Features: 7.5b LLM, VRAM: 4.1GB, Context: 32K, LLM Explorer Score: 0.13.

  Arxiv:1910.09700   4-bit   Bitsandbytes   Endpoints compatible   Mistral   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/gkMSDA/Finchat298-Mistral7B-FT-650 

Finchat298 Mistral7B FT 650 Benchmarks

LLME Score: 0.13189
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Finchat298 Mistral7B FT 650 (gkMSDA/Finchat298-Mistral7B-FT-650)
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Finchat298 Mistral7B FT 650 Parameters and Internals

LLM NameFinchat298 Mistral7B FT 650
Repository 🤗https://huggingface.co/gkMSDA/Finchat298-Mistral7B-FT-650 
Model Size7.5b
Required VRAM4.1 GB
Updated2026-07-03
MaintainergkMSDA
Model Typemistral
Model Files  4.1 GB
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.42.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than gkMSDA/Finchat298-Mistral7B-FT-650.

Rank the Finchat298 Mistral7B FT 650 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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