Model Card on HF 🤗: https://huggingface.co/styalai/phi-2_quantize_gptq
Phi 2 Quantize Gptq 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)
Phi 2 Quantize Gptq Parameters and Internals
| Model Type |
| |
| Additional Notes |
|
| LLM Name | Phi 2 Quantize Gptq |
| Repository 🤗 | https://huggingface.co/styalai/phi-2_quantize_gptq |
| Model Size | 2.8b |
| Required VRAM | 1.8 GB |
| Updated | 2026-02-25 |
| Maintainer | styalai |
| Model Type | phi |
| Model Files | |
| GPTQ Quantization | Yes |
| Quantization Type | gptq |
| Model Architecture | PhiForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.38.2 |
| Tokenizer Class | CodeGenTokenizer |
| Vocabulary Size | 51200 |
| Torch Data Type | float16 |
Best Alternatives to Phi 2 Quantize Gptq
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Phi 2 DPO GPTQ | 0K / 1.8 GB | 7 | 5 |
| Phi 2 GPTQ | 0K / 1.8 GB | 61 | 30 |
| Bnb DPO 8bit | 2K / 3 GB | 7 | 0 |
| Bnb DPO 8bit | 2K / 3 GB | 7 | 0 |
| Phi 2 4bit 64rank | 2K / 5.6 GB | 23 | 0 |
| Phi 2 Nf4 Fp16 Upscaled | 2K / 5.6 GB | 9 | 0 |
| MFANN3bv0.24 | 128K / 11.1 GB | 5 | 0 |
| MFANN3b | 128K / 11.1 GB | 24 | 0 |
| MFANN3bv1.4 | 128K / 11.1 GB | 6 | 0 |
| MFANN Phigments Slerp V3.2 | 128K / 5.6 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than styalai/phi-2_quantize_gptq .
Rank the Phi 2 Quantize Gptq Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124