4-bit Autotrain compatible Base model:quantized:stem-ai-m... Base model:stem-ai-mtl/phi-2-e... Custom code Dataset:garage-baind/open-plat... Dataset:stem-ai-mtl/electrical... Electrical engineering En Fp16 Gptq Microsoft Phi Phi-2 Quantized Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/phi-2-electrical-engineering-GPTQ
Phi 2 Electrical Engineering 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 Electrical Engineering GPTQ Parameters and Internals
| Model Type |
| |||||||||
| Training Details |
|
| LLM Name | Phi 2 Electrical Engineering GPTQ |
| Repository 🤗 | https://huggingface.co/TheBloke/phi-2-electrical-engineering-GPTQ |
| Model Name | Phi 2 Electrical Engineering |
| Model Creator | mod |
| Base Model(s) | |
| Model Size | 600.5m |
| Required VRAM | 1.8 GB |
| Updated | 2025-09-23 |
| Maintainer | TheBloke |
| Model Type | phi-msft |
| Model Files | |
| Supported Languages | en |
| GPTQ Quantization | Yes |
| Quantization Type | fp16|gptq |
| Model Architecture | PhiForCausalLM |
| License | other |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.36.2 |
| Tokenizer Class | CodeGenTokenizer |
| Vocabulary Size | 51200 |
| Torch Data Type | float16 |
Best Alternatives to Phi 2 Electrical Engineering GPTQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Phi 2 Quantize Gptq | 2K / 1.8 GB | 3 | 2 |
| Quantised Phi 2 | 2K / 1.8 GB | 8 | 0 |
| Quantised Phi 2 | 2K / 1.8 GB | 8 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/phi-2-electrical-engineering-GPTQ .
Rank the Phi 2 Electrical Engineering GPTQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124