Model Card on HF 🤗: https://huggingface.co/llmware/bling-phi-2-v0
Bling Phi 2 V0 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)
Bling Phi 2 V0 Parameters and Internals
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| LLM Name | Bling Phi 2 V0 |
| Repository 🤗 | https://huggingface.co/llmware/bling-phi-2-v0 |
| Required VRAM | 5.6 GB |
| Updated | 2025-04-27 |
| Maintainer | llmware |
| Model Type | phi |
| Model Files | |
| Model Architecture | PhiForCausalLM |
| License | apache-2.0 |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.37.0 |
| Tokenizer Class | CodeGenTokenizer |
| Vocabulary Size | 51200 |
| Torch Data Type | float16 |
| Activation Function | gelu_new |
Best Alternatives to Bling Phi 2 V0
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Phi1.5 Quantized 2 | 2K / GB | 5 | 0 |
| Merlin1.4 | 2K / 5.6 GB | 5 | 0 |
| Merlin1.5 | 2K / 5.6 GB | 10 | 0 |
| Merlin1.2 | 2K / 5.6 GB | 5 | 0 |
| Merlin1.3 | 2K / 5.6 GB | 5 | 0 |
| Tinyllama Quant | 2K / 0.8 GB | 5 | 1 |
| Phi1.5 Update 4 | 2K / GB | 5 | 0 |
| Phi 2 Fp8 | 2K / 3.3 GB | 89 | 0 |
| Phi 2 Fp8 | 2K / 3.3 GB | 14 | 0 |
| Phi 2 Int8 Ov | 2K / 0 GB | 62 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than llmware/bling-phi-2-v0 .
Rank the Bling Phi 2 V0 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227