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Quasar 3.0 Final 2 by silx-ai

By silx-ai · 43 downloads

Quasar 3.0 Final 2 is an open-source language model by silx-ai. Features: 7.6b LLM, VRAM: 15.2GB, Context: 128K, LLM Explorer Score: 0.17.

  Autotrain compatible Base model:finetune:silx-ai/qu... Base model:silx-ai/quasar-3.0-...   Conversational   Dataset:eyad-silx/ultra2   Endpoints compatible   Generated from trainer   Open-r1   Qwen2   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl

Quasar 3.0 Final 2 Parameters and Internals

LLM NameQuasar 3.0 Final 2
Repository 🤗https://huggingface.co/silx-ai/Quasar-3.0-Final-2 
Model NameQuasar-3.0-Final-2
Base Model(s)  silx-ai/Quasar-3.0-Final   silx-ai/Quasar-3.0-Final
Model Size7.6b
Required VRAM15.2 GB
Updated2025-04-07
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 Version4.50.0
Tokenizer ClassLlamaTokenizerFast
Padding Token<|end▁of▁sentence|>
Vocabulary Size152064
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than silx-ai/Quasar-3.0-Final-2.