4bit Autotrain compatible Conversational En Endpoints compatible Instruct Lora Mistral Quantized Region:us Safetensors Sft Sharded Tensorflow Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/pinkyprakash/Phi-3-Mini-Instruct_16bit
Phi 3 Mini Instruct 16bit 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 Instruct 16bit Parameters and Internals
| Model Type |
| |
| Additional Notes |
|
| LLM Name | Phi 3 Mini Instruct 16bit |
| Repository 🤗 | https://huggingface.co/pinkyprakash/Phi-3-Mini-Instruct_16bit |
| Base Model(s) | |
| Model Size | 3.8b |
| Required VRAM | 7.6 GB |
| Updated | 2025-06-10 |
| Maintainer | pinkyprakash |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Quantization Type | 4bit |
| Model Architecture | AutoModelForCausalLM |
| License | apache-2.0 |
| Model Max Length | 4096 |
| Is Biased | none |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <|placeholder6|> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | q_proj|v_proj|up_proj|gate_proj|o_proj|down_proj|k_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0 |
| R Param | 16 |
Best Alternatives to Phi 3 Mini Instruct 16bit
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...ct Bnb 4bit 16 4 100 1 Nonmath | 0K / 7.6 GB | 35 | 1 |
| Followup V6 | 0K / 7.6 GB | 0 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than pinkyprakash/Phi-3-Mini-Instruct_16bit .
Rank the Phi 3 Mini Instruct 16bit Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124