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Quasar 2.0 7B Pro by silx-ai

By silx-ai · 141 downloads
HF Repo ↗ Copy URL

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

  Autotrain compatible Base model:eyad-silx/quasar-2.... Base model:finetune:eyad-silx/...   Conversational   Dataset:eyad-silx/si-dataset   Endpoints compatible   Generated from trainer   Open-r1   Qwen2   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl
Model Card on HF 🤗: https://huggingface.co/silx-ai/Quasar-2.0-7B-Pro 

Quasar 2.0 7B Pro Parameters and Internals

LLM NameQuasar 2.0 7B Pro
Repository 🤗https://huggingface.co/silx-ai/Quasar-2.0-7B-Pro 
Model NameQuasar-2.0-rl
Base Model(s)  eyad-silx/Quasar-2.0-7B-Thinking   eyad-silx/Quasar-2.0-7B-Thinking
Model Size7b
Required VRAM15.2 GB
Updated2025-02-17
Maintainersilx-ai
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 silx-ai/Quasar-2.0-7B-Pro.