4bit Autotrain compatible Conversational En Endpoints compatible Instruct Mistral Mlx Phi Phi3 Quantized Region:us Safetensors Unsloth
Model Card on HF 🤗: https://huggingface.co/mlx-community/Phi-3-mini-4k-instruct-unsloth-4bit
Phi 3 Mini 4K Instruct Unsloth 4bit 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 Unsloth 4bit Parameters and Internals
| Model Type |
|
| LLM Name | Phi 3 Mini 4K Instruct Unsloth 4bit |
| Repository 🤗 | https://huggingface.co/mlx-community/Phi-3-mini-4k-instruct-unsloth-4bit |
| Model Size | 597.2m |
| Required VRAM | 2.1 GB |
| Updated | 2025-02-22 |
| Maintainer | mlx-community |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Quantization Type | 4bit |
| Model Architecture | MistralForCausalLM |
| License | mit |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.41.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <|placeholder6|> |
| Vocabulary Size | 32064 |
| Torch Data Type | bfloat16 |
Rank the Phi 3 Mini 4K Instruct Unsloth 4bit Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227