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Quasar 2.0 7B by eyad-silx

By eyad-silx · 98 downloads
HF Repo ↗ Copy URL

Quasar 2.0 7B is an open-source language model by eyad-silx. Features: 7b LLM, VRAM: 15.2GB, Context: 128K, LLM Explorer Score: 0.17.

  Arxiv:2402.03300   Autotrain compatible Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2.5-7b   Conversational   Dataset:eyad-silx/quasar-rl   Endpoints compatible   Generated from trainer   Grpo   Open-r1   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Trl
Model Card on HF 🤗: https://huggingface.co/eyad-silx/Quasar-2.0-7B 

Quasar 2.0 7B Parameters and Internals

LLM NameQuasar 2.0 7B
Repository 🤗https://huggingface.co/eyad-silx/Quasar-2.0-7B 
Model NameQwen2.5-1.5B-Open-R1-GRPO
Base Model(s)  Qwen/Qwen2.5-7B   Qwen/Qwen2.5-7B
Model Size7b
Required VRAM15.2 GB
Updated2025-02-25
Maintainereyad-silx
Model Typeqwen2
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4   0.0 GB
Model ArchitectureQwen2ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.49.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than eyad-silx/Quasar-2.0-7B.