Autotrain compatible Custom code Endpoints compatible Ggml Gguf Instruct Phi Quantized Region:us Safetensors Sharded Tensorboard Tensorflow
Model Card on HF 🤗: https://huggingface.co/timothyckl/phi-2-instruct-v1
Phi 2 Instruct V1 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 Instruct V1 Parameters and Internals
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| LLM Name | Phi 2 Instruct V1 |
| Repository 🤗 | https://huggingface.co/timothyckl/phi-2-instruct-v1 |
| Model Size | 2.8b |
| Required VRAM | 11.1 GB |
| Updated | 2025-02-22 |
| Maintainer | timothyckl |
| Model Type | phi |
| Instruction-Based | Yes |
| Model Files | |
| GGML Quantization | Yes |
| GGUF Quantization | Yes |
| Quantization Type | ggml|gguf |
| Model Architecture | PhiForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.39.3 |
| Tokenizer Class | CodeGenTokenizer |
| Vocabulary Size | 51200 |
| Torch Data Type | float32 |
Best Alternatives to Phi 2 Instruct V1
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Phi 2 Instruct V0.1 | 2K / 5.6 GB | 106 | 2 |
| Phi 2 Instruct Apo | 2K / 5.6 GB | 15 | 0 |
| EEVE Korean Instruct 2.8B V1.0 | 2K / 5.7 GB | 2752 | 22 |
| Att Model | 2K / 5.7 GB | 50 | 0 |
| Eeve2.8 Base | 2K / 5.7 GB | 6 | 0 |
| Eeve2.8 Ko | 2K / 5.7 GB | 10 | 0 |
| ... Instruct 2.8B V1.0 20240430 2 | 2K / 2.9 GB | 59 | 0 |
| Phi 2 Code Instruct | 2K / 5.6 GB | 44 | 4 |
| Dolphin 2 6 Phi 2 | 0K / 5.6 GB | 338 | 192 |
| Phi 2 Evol Instruct Chinese | 0K / 5.6 GB | 0 | 4 |
Note: green Score (e.g. "73.2") means that the model is better than timothyckl/phi-2-instruct-v1 .
Rank the Phi 2 Instruct V1 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227