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Mistral Chess by simsim314

 »  All LLMs  »  simsim314  »  Mistral Chess   URL Share it on

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  Arxiv:1910.09700   Adapter Base model:adapter:mistralai/m... Base model:mistralai/mistral-7...   Endpoints compatible   Finetuned   Gguf   Lora   Peft   Q4   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/simsim314/mistral-chess 

Mistral Chess Benchmarks

LLME Score: 0.14637
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral Chess (simsim314/mistral-chess)

Mistral Chess Parameters and Internals

Additional Notes 
The model card mentions that more information is needed for various sections, indicating that details such as developers, licenses, and evaluation metrics are not specified.
LLM NameMistral Chess
Repository 🤗https://huggingface.co/simsim314/mistral-chess 
Base Model(s)  mistralai/Mistral-7B-v0.1   mistralai/Mistral-7B-v0.1
Model Size7b
Required VRAM2.7 GB
Updated2025-02-22
Maintainersimsim314
Model Files  2.7 GB   4.1 GB   5.1 GB   5.9 GB
GGUF QuantizationYes
Quantization Typegguf|q4|q5_k
Model ArchitectureAdapter
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token</s>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesdown_proj|q_proj|k_proj|up_proj|gate_proj|v_proj|o_proj
LoRA Alpha16
LoRA Dropout0.05
R Param256

Best Alternatives to Mistral Chess

Best Alternatives
Context / RAM
Downloads
Likes
Lemonilia ShoriRP V0.75d0K / 0.2 GB101
... Instruct Mistral 7B V0.1.gguf0K / 0 GB241
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...hat Hf Hotel Booking Assistant0K / 0.2 GB80
Mistral Numericnlg FV0K / 0.3 GB60
Mistral Wikitable FV0K / 0.3 GB80
Mistral Charttotext FV0K / 0.3 GB50
Gemma 7B Us Minecraft0K / 0 GB1170
Gemma7b SFT0K / 0 GB200
Note: green Score (e.g. "73.2") means that the model is better than simsim314/mistral-chess.

Rank the Mistral Chess 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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