Model Card on HF 🤗: https://huggingface.co/mlx-community/Phi-3-mini-4k-instruct-8bit
Phi 3 Mini 4K Instruct 8bit 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 3 Mini 4K Instruct 8bit Parameters and Internals
| Model Type |
| |
| Additional Notes |
|
| LLM Name | Phi 3 Mini 4K Instruct 8bit |
| Repository 🤗 | https://huggingface.co/mlx-community/Phi-3-mini-4k-instruct-8bit |
| Model Size | 1.1b |
| Required VRAM | 4.1 GB |
| Updated | 2024-12-22 |
| Maintainer | mlx-community |
| Model Type | phi3 |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Quantization Type | 8bit |
| Model Architecture | Phi3ForCausalLM |
| License | mit |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.40.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 32064 |
| Torch Data Type | bfloat16 |
Best Alternatives to Phi 3 Mini 4K Instruct 8bit
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Phi 3.5 Mini Instruct 8bit | 128K / 4.1 GB | 63 | 6 |
| Phi 3 Mini 128K Instruct 8bit | 128K / 4.1 GB | 52 | 9 |
| ...hi 3 Mini 4K Instruct Sft 8bit | 4K / 4.1 GB | 26 | 0 |
| Phi3 Gptq 8bits | 4K / 4.1 GB | 29 | 0 |
| ...4K Instruct DPO EPFL GPTQ 8bit | 4K / 4.1 GB | 13 | 0 |
| ...i 3 Mini 4K Instruct GPTQ 8bit | 4K / 4.1 GB | 12 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Phi-3-mini-4k-instruct-8bit .
Rank the Phi 3 Mini 4K Instruct 8bit Capabilities
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟
What open-source LLMs or SLMs are you in search of? 40066 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217