LLM-course / chess_model_lucas_meb_GQA

huggingface.co
Total runs: 18
24-hour runs: 0
7-day runs: 1
30-day runs: 6
Model's Last Updated: January 25 2026
text-generation

Introduction of chess_model_lucas_meb_GQA

Model Details of chess_model_lucas_meb_GQA

chess_model_lucas_meb_GQA

Chess model submitted to the LLM Course Chess Challenge.

Submission Info
  • Submitted by : luluM
  • Parameters : 999,168
  • Organization : LLM-course
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("LLM-course/chess_model_lucas_meb_GQA", trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained("LLM-course/chess_model_lucas_meb_GQA", trust_remote_code=True)
Evaluation

This model is evaluated at the Chess Challenge Arena .

Runs of LLM-course chess_model_lucas_meb_GQA on huggingface.co

18
Total runs
0
24-hour runs
0
3-day runs
1
7-day runs
6
30-day runs

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chess_model_lucas_meb_GQA huggingface.co is an AI model on huggingface.co that provides chess_model_lucas_meb_GQA's model effect (), which can be used instantly with this LLM-course chess_model_lucas_meb_GQA model. huggingface.co supports a free trial of the chess_model_lucas_meb_GQA model, and also provides paid use of the chess_model_lucas_meb_GQA. Support call chess_model_lucas_meb_GQA model through api, including Node.js, Python, http.

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chess_model_lucas_meb_GQA install

chess_model_lucas_meb_GQA is an open source model from GitHub that offers a free installation service, and any user can find chess_model_lucas_meb_GQA on GitHub to install. At the same time, huggingface.co provides the effect of chess_model_lucas_meb_GQA install, users can directly use chess_model_lucas_meb_GQA installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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Updated:January 18 2026
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