4bit Autotrain compatible Base model:finetune:unsloth/ph... Base model:unsloth/phi-3-mini-... Conversational En Endpoints compatible Instruct Lora Mistral Pytorch Quantized Region:us Safetensors Sft Sharded Trl Unsloth
Dre Phi 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)
Dre Phi Parameters and Internals
| LLM Name | Dre Phi |
| Repository 🤗 | https://huggingface.co/empgces/dre_phi |
| Base Model(s) | |
| Required VRAM | 7.6 GB |
| Updated | 2024-09-01 |
| Maintainer | empgces |
| 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 | <unk> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | up_proj|v_proj|q_proj|gate_proj|down_proj|o_proj|k_proj |
| LoRA Alpha | 32 |
| LoRA Dropout | 0 |
| R Param | 32 |
Best Alternatives to Dre Phi
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...emo Instruct 2407 EXL2 8bpw H8 | 0K / 12.6 GB | 16 | 6 |
| Phi 3 Mini 4K CodeInstruct | 0K / 7.6 GB | 6 | 0 |
| ...3 Mini 4K Instruct Text To Sql | 0K / 7.6 GB | 11 | 0 |
| VLM2Vec LoRA | 0K / 0 GB | 70 | 6 |
| Phi 3 Mini 4K Python | 0K / 7.6 GB | 549 | 0 |
| Pipi | 0K / 2.4 GB | 5 | 0 |
| ... Mini 4K Instruct Chinese Lora | 0K / 0 GB | 79 | 6 |
| Falcon Camel Math Instruct | 0K / 0 GB | 2 | 1 |
| Instruct Igel 001 | 0K / 12.9 GB | 23 | 47 |
Note: green Score (e.g. "73.2") means that the model is better than empgces/dre_phi .
Rank the Dre Phi Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803