Chess Mistral7b by Erinda

 ยป  All LLMs  ยป  Erinda  ยป  Chess Mistral7b   URL Share it on

  Arxiv:1910.09700   8-bit   Adapter Base model:adapter:mistralai/m... Base model:mistralai/mistral-7...   Bitsandbytes   Finetuned   Instruct   Lora   Mistral   Peft   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/Erinda/Chess_Mistral7b 

Chess Mistral7b Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Chess Mistral7b (Erinda/Chess_Mistral7b)

Chess Mistral7b Parameters and Internals

Additional Notes 
The content provided mentions the information needed for various aspects of the model but lacks specific details. More comprehensive information about the model is required for a complete understanding.
LLM NameChess Mistral7b
Repository ๐Ÿค—https://huggingface.co/Erinda/Chess_Mistral7b 
Base Model(s)  mistralai/Mistral-7B-Instruct-v0.2   mistralai/Mistral-7B-Instruct-v0.2
Model Size7b
Required VRAM7.6 GB
Updated2024-12-17
MaintainerErinda
Instruction-BasedYes
Model Files  0.4 GB   5.0 GB: 1-of-2   2.6 GB: 2-of-2
Model ArchitectureAdapter
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token</s>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Moduleso_proj|gate_proj|q_proj|k_proj|v_proj
LoRA Alpha16
LoRA Dropout0.1
R Param64

Best Alternatives to Chess Mistral7b

Best Alternatives
Context / RAM
Downloads
Likes
Qwen Megumin0K / 0.1 GB130
Deepthink Reasoning Adapter0K / 0.2 GB278
Mistral 7B Instruct Sa V0.10K / 0 GB60
...Sql Flash Attention 2 Dataeval0K / 1.9 GB323
...82 6142 45d8 9455 Bc68ca4866eb0K / 1.2 GB60
Text To Rule Mistral 20K / 0.3 GB60
...al 7B Instruct V0.3 17193012560K / 0.9 GB90
...al 7B Instruct V0.3 17192977500K / 0.4 GB60
Text To Rule Mistral0K / 0.4 GB60
...al 7B Instruct V0.3 17193413250K / 1.7 GB60
Note: green Score (e.g. "73.2") means that the model is better than Erinda/Chess_Mistral7b.

Rank the Chess Mistral7b Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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  

What open-source LLMs or SLMs are you in search of? 43470 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227