4-bit 4bit Bitsandbytes Conversational En Endpoints compatible Instruct Mistral Phi Phi3 Quantized Region:us Safetensors Unsloth
Model Card on HF 🤗: https://huggingface.co/unsloth/Phi-3-mini-4k-instruct-v0-bnb-4bit
Phi 3 Mini 4K Instruct V0 Bnb 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 V0 Bnb 4bit Parameters and Internals
| Model Type |
| ||||
| Release Notes |
|
| LLM Name | Phi 3 Mini 4K Instruct V0 Bnb 4bit |
| Repository 🤗 | https://huggingface.co/unsloth/Phi-3-mini-4k-instruct-v0-bnb-4bit |
| Model Size | 3.9b |
| Required VRAM | 2.3 GB |
| Updated | 2026-01-20 |
| Maintainer | unsloth |
| 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 | 4.43.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <|placeholder6|> |
| Vocabulary Size | 32064 |
| Torch Data Type | bfloat16 |
Best Alternatives to Phi 3 Mini 4K Instruct V0 Bnb 4bit
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...Spydaz Web AI ChatQA 002 4 BIT | 512K / 4.1 GB | 24 | 0 |
| Spydaz Web AI 02 4 BIT | 32K / 4.1 GB | 28 | 0 |
| ...pydaz Web AI ChatQA BASE 4 BIT | 32K / 4.1 GB | 18 | 0 |
| Mistral MoE Lora | 32K / 4.1 GB | 6 | 1 |
| ...3 Mini 4K Instruct Ita Orpo V2 | 4K / 2.3 GB | 10 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than unsloth/Phi-3-mini-4k-instruct-v0-bnb-4bit .
Rank the Phi 3 Mini 4K Instruct V0 Bnb 4bit Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124