4-bit Autotrain compatible Conversational Custom code Endpoints compatible Gptq Instruct Phi3 Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/Frinkles/QuantizedModel
QuantizedModel 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)
QuantizedModel Parameters and Internals
| LLM Name | QuantizedModel |
| Repository 🤗 | https://huggingface.co/Frinkles/QuantizedModel |
| Model Size | 682.6m |
| Required VRAM | 2.3 GB |
| Updated | 2025-09-23 |
| Maintainer | Frinkles |
| Model Type | phi3 |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | Phi3ForCausalLM |
| License | mit |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 32064 |
| Torch Data Type | float16 |
Best Alternatives to QuantizedModel
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Phi 3 128K Quant | 4K / 2.3 GB | 6 | 0 |
| Phi3 128K Instruct 4Bit GPTQ | 128K / 2.3 GB | 27 | 0 |
| Phi3 Gptq 4bits | 4K / 2.3 GB | 6 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Frinkles/QuantizedModel .
Rank the QuantizedModel Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124