Merged Model 4-bit Autotrain compatible Custom code Endpoints compatible Gptq Phi Quantized Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/RaviNaik/Phi2-OSST-GPTQ
Phi2 OSST 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)
Phi2 OSST GPTQ Parameters and Internals
| LLM Name | Phi2 OSST GPTQ |
| Repository 🤗 | https://huggingface.co/RaviNaik/Phi2-OSST-GPTQ |
| Merged Model | Yes |
| Model Size | 600.4m |
| Required VRAM | 1.8 GB |
| Updated | 2025-02-05 |
| Maintainer | RaviNaik |
| Model Type | phi |
| Model Files | |
| GPTQ Quantization | Yes |
| Quantization Type | gptq |
| Model Architecture | PhiForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.36.2 |
| Tokenizer Class | CodeGenTokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 51200 |
| Torch Data Type | float16 |
Best Alternatives to Phi2 OSST GPTQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Phi 2 GPTQ | 0K / 1.8 GB | 1493 | 29 |
| Phi 2 Orange GPTQ | 0K / 1.8 GB | 19 | 4 |
| Dolphin 2 6 Phi 2 GPTQ | 0K / 1.8 GB | 27 | 2 |
| LMCocktail Phi 2 V1 GPTQ | 0K / 1.8 GB | 16 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than RaviNaik/Phi2-OSST-GPTQ .
Rank the Phi2 OSST GPTQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227