Arxiv:2412.06822 Autotrain compatible Base model:finetune:silx-ai/qu... Base model:silx-ai/quasar-3.7 Conversational Dataset:eyad-silx/qausar-3.7-c... Endpoints compatible Qwen2 Region:us Rl Safetensors Sft Sharded Silx Tensorflow Trl
Model Card on HF 🤗: https://huggingface.co/silx-ai/Quasar-3.7
Quasar 3.7 Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Quasar 3.7 Parameters and Internals
| LLM Name | Quasar 3.7 |
| Repository 🤗 | https://huggingface.co/silx-ai/Quasar-3.7 |
| Model Name | Quasar-3.7 |
| Base Model(s) | |
| Model Size | 7.6b |
| Required VRAM | 15.2 GB |
| Updated | 2025-04-08 |
| Maintainer | silx-ai |
| Model Type | qwen2 |
| Model Files | |
| Model Architecture | Qwen2ForCausalLM |
| Context Length | 1010000 |
| Model Max Length | 1010000 |
| Transformers Version | 4.49.0 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|im_end|> |
| Vocabulary Size | 152064 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Quasar 3.7
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Quasar 3.3 Max | 986K / 15.2 GB | 132 | 0 |
| MawaredT1 | 128K / 15.2 GB | 2318 | 1 |
| BBALAW1.6 | 128K / 15.2 GB | 6 | 0 |
| BBAI 525 Tsu GZ Xia0 | 128K / 15.2 GB | 5 | 0 |
| Mergekit 01 | 128K / 16.2 GB | 6 | 0 |
| Nature Reason 1.2 Reallysmall | 128K / 15.2 GB | 27 | 1 |
| Exp 3 Q R | 128K / 15.2 GB | 9 | 0 |
| Marco LLM ES | 128K / 15.2 GB | 2977 | 1 |
| Quasar Ant | 128K / 15.2 GB | 145 | 0 |
| Marco LLM AR | 128K / 15.3 GB | 1626 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than silx-ai/Quasar-3.7 .
Rank the Quasar 3.7 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227