GWQ 9B Preview is an open-source language model by prithivMLmods. Features: 9b LLM, VRAM: 18.6GB, Context: 8K, License: gemma, Quantized, LLM Explorer Score: 0.26.
Autotrain compatible Conversational En Endpoints compatible F16 Fp16 Gemma2 Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/prithivMLmods/GWQ-9B-Preview
GWQ 9B Preview Benchmarks
MMLU Pro: 33.15
GPQA: 11.97
MUSR: 21.82
BBH: 40.67
IFEval: 50.66 vs 88 (so35)-42.4%
MATH Lvl 5: 22.66
LLME Score: 0.25988
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)
GWQ 9B Preview Parameters and Internals
| LLM Name | GWQ 9B Preview |
| Repository 🤗 | https://huggingface.co/prithivMLmods/GWQ-9B-Preview |
| Model Size | 9b |
| Required VRAM | 18.6 GB |
| Updated | 2025-10-05 |
| Maintainer | prithivMLmods |
| Model Type | gemma2 |
| Model Files | |
| Supported Languages | en |
| Quantization Type | fp16 |
| Model Architecture | Gemma2ForCausalLM |
| License | gemma |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.47.1 |
| Tokenizer Class | GemmaTokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 256000 |
| Torch Data Type | float16 |
Best Alternatives to GWQ 9B Preview
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Gemma 2 9B 4bit | 8K / 5.2 GB | 145 | 2 |
| Gemma 2 9B It Bnb 4bit | 8K / 6.1 GB | 13727 | 31 |
| SASTRI 1 9B | 8K / 6.1 GB | 6 | 0 |
| Gemma 2 9B Bnb 4bit | 8K / 6.1 GB | 10543 | 31 |
| Gemma 2 9B It Finance | 8K / 18.6 GB | 6 | 0 |
| Athena Gemma 2 2B It | 8K / 23.8 GB | 0 | 2 |
| Gemma 2 9B It 4bit | 8K / 5.2 GB | 15237 | 2 |
| Gemma 2 9B It Ko RAG Bnb 4bit | 8K / 6.1 GB | 155 | 0 |
| Gemma 2 9B It Ko RAG Bnb 16bit | 8K / 18.6 GB | 10 | 0 |
| ...ma 2 9B It Ko ChatRAG Bnb 4bit | 8K / 6.1 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/GWQ-9B-Preview .
Rank the GWQ 9B Preview Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a