Model Card on HF 🤗: https://huggingface.co/MoxoffSrL/VolareQuantized
VolareQuantized 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)
VolareQuantized Parameters and Internals
| LLM Name | VolareQuantized |
| Repository 🤗 | https://huggingface.co/MoxoffSrL/VolareQuantized |
| Model Size | 7b |
| Required VRAM | 5.3 GB |
| Updated | 2025-10-07 |
| Maintainer | MoxoffSrL |
| Model Type | gemma |
| Model Files | |
| Supported Languages | it en |
| GGML Quantization | Yes |
| GGUF Quantization | Yes |
| Quantization Type | gguf|ggml|q4|q4_k |
| Model Architecture | GemmaForCausalLM |
| License | mit |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.38.0 |
| Vocabulary Size | 256000 |
| Torch Data Type | float16 |
Best Alternatives to VolareQuantized
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Gemma 7B Uawiki 1B | 8K / 17.1 GB | 24 | 0 |
| CNCF | 8K / 5.3 GB | 19 | 0 |
| DeepCNCFQuantized | 8K / 5.3 GB | 14 | 1 |
| VolareQuantized | 8K / 5.3 GB | 226 | 1 |
| Gemma 7B It | 8K / 17.1 GB | 160844 | 1213 |
| Gemma 7B | 8K / 17.1 GB | 29740 | 3228 |
| Gemma 1.1 7B It GGUF | 8K / 5.3 GB | 128 | 1 |
| Train06 | 8K / 9.1 GB | 7 | 0 |
| Llama2 Kazakh 7B GGUF | 8K / 4.1 GB | 15 | 0 |
| Gemma 7B | 8K / 17.1 GB | 15 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than MoxoffSrL/VolareQuantized .
Rank the VolareQuantized Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124