Autotrain compatible Code Conversational En Endpoints compatible Gguf Instruct Lora Mistral Quantized Region:us Sft Trl Unsloth
Pipi 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)
Pipi Parameters and Internals
| LLM Name | Pipi |
| Repository 🤗 | https://huggingface.co/huggingfacepremium/pipi |
| Required VRAM | 2.4 GB |
| Updated | 2024-09-06 |
| Maintainer | huggingfacepremium |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | AutoModelForCausalLM |
| License | mit |
| Model Max Length | 4096 |
| Is Biased | none |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <|placeholder6|> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | gate_proj|down_proj|v_proj|o_proj|q_proj|up_proj|k_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0 |
| R Param | 16 |
Best Alternatives to Pipi
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Phi 3 Mini 4K Python | 0K / 7.6 GB | 135 | 0 |
| ...emo Instruct 2407 EXL2 8bpw H8 | 0K / 12.6 GB | 45 | 6 |
| Dre Phi | 0K / 7.6 GB | 5 | 0 |
| Phi 3 Mini 4K CodeInstruct | 0K / 7.6 GB | 5 | 0 |
| ...3 Mini 4K Instruct Text To Sql | 0K / 7.6 GB | 16 | 0 |
| ... Mini 4K Instruct Chinese Lora | 0K / 0 GB | 92 | 6 |
| Falcon Camel Math Instruct | 0K / 0 GB | 5 | 1 |
| Instruct Igel 001 | 0K / 12.9 GB | 57 | 47 |
Note: green Score (e.g. "73.2") means that the model is better than huggingfacepremium/pipi .
Rank the Pipi Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803