Arxiv:1910.09700 4bit Autotrain compatible Conversational Endpoints compatible Instruct Mistral Quantized Region:us Safetensors Sft Sharded Tensorflow Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/lexu14/porpoise1
Porpoise1 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)
Porpoise1 Parameters and Internals
| LLM Name | Porpoise1 |
| Repository 🤗 | https://huggingface.co/lexu14/porpoise1 |
| Model Size | 3.8b |
| Required VRAM | 7.6 GB |
| Updated | 2025-09-23 |
| Maintainer | lexu14 |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| Quantization Type | 4bit |
| Model Architecture | MistralForCausalLM |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <|placeholder6|> |
| Vocabulary Size | 32064 |
| Torch Data Type | bfloat16 |
Best Alternatives to Porpoise1
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ... Instruct Unsloth Merged 16bit | 4K / 7.6 GB | 4 | 2 |
| ...ent V56 3 W Unknown 5 Lr 0.002 | 4K / 7.6 GB | 6 | 0 |
| ...Word Problems 200K Model 16bit | 4K / 7.6 GB | 3879 | 0 |
| ... 4K Instruct Matter 0.1 Slim A | 4K / 7.6 GB | 7 | 2 |
| ...rser User V9b Epoch 7 Lr 0.002 | 4K / 7.6 GB | 5 | 0 |
| ...100 Percent Low Med Perplexity | 4K / 7.6 GB | 5 | 0 |
| Pii Redaction V0.3 | 4K / 7.6 GB | 52 | 3 |
| ...22 Epoch7 0.002 Nosystemprompt | 4K / 7.6 GB | 5 | 0 |
| ...20 Epoch7 0.002 Nosystemprompt | 4K / 7.6 GB | 5 | 0 |
| ...Af 50 Percent Low Med Nv Embed | 4K / 7.6 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than lexu14/porpoise1 .
Rank the Porpoise1 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124