4-bit 4bit Autotrain compatible Bitsandbytes Conversational En Endpoints compatible Instruct Lora Mistral Pytorch Quantized Region:us Safetensors Sft Sharded Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/AlekseyElygin/Phi-3-mini-4k-instruct-LORA
Phi 3 Mini 4K Instruct LORA 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 LORA Parameters and Internals
| Model Type |
| |
| Additional Notes |
|
| LLM Name | Phi 3 Mini 4K Instruct LORA |
| Repository 🤗 | https://huggingface.co/AlekseyElygin/Phi-3-mini-4k-instruct-LORA |
| Base Model(s) | |
| Model Size | 2.1b |
| Required VRAM | 7.6 GB |
| Updated | 2025-09-23 |
| Maintainer | AlekseyElygin |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Quantization Type | 4bit |
| Model Architecture | AutoModelForCausalLM |
| License | apache-2.0 |
| Is Biased | none |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <|placeholder6|> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | k_proj|gate_proj|up_proj|v_proj|o_proj|down_proj|q_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0 |
| R Param | 16 |
Best Alternatives to Phi 3 Mini 4K Instruct LORA
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| Phi 3 Bangla Instruct | 0K / 0.5 GB | 5 | 5 |
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124