Arxiv:1910.09700 Autotrain compatible Conversational Custom code Endpoints compatible Instruct Phi3 Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/nagrajn/TinyLinux3B_msphi3_Instruct
TinyLinux3B Msphi3 Instruct 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)
TinyLinux3B Msphi3 Instruct Parameters and Internals
| LLM Name | TinyLinux3B Msphi3 Instruct |
| Repository 🤗 | https://huggingface.co/nagrajn/TinyLinux3B_msphi3_Instruct |
| Model Size | 3.8b |
| Required VRAM | 7.7 GB |
| Updated | 2025-02-22 |
| Maintainer | nagrajn |
| Model Type | phi3 |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | Phi3ForCausalLM |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.43.3 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32011 |
| Torch Data Type | bfloat16 |
Best Alternatives to TinyLinux3B Msphi3 Instruct
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Phi 3.5 Mini Instruct | 128K / 7.7 GB | 721615 | 819 |
| Phi 3 Mini 128K Instruct | 128K / 7.7 GB | 174176 | 1636 |
| NuExtract 1.5 | 128K / 7.7 GB | 115378 | 198 |
| NuExtract V1.5 | 128K / 7.7 GB | 108511 | 89 |
| Phi 3.5 Mini TitanFusion 0.1 | 128K / 7.7 GB | 165 | 0 |
| Glider | 128K / 15.4 GB | 1504 | 36 |
| Saka 3.8B | 128K / 7.7 GB | 309 | 1 |
| ECE EIFFEL 3Bv2 | 128K / 7.7 GB | 10 | 0 |
| Samantha2.0 Phi 3.5 Mini ITA | 128K / 7.7 GB | 4121 | 0 |
| Artemide 3.5 | 128K / 7.7 GB | 7453 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than nagrajn/TinyLinux3B_msphi3_Instruct .
Rank the TinyLinux3B Msphi3 Instruct Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227