Autotrain compatible Conversational Custom code Endpoints compatible Gguf Phi3 Q4 Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/SciPhi/Triplex
Triplex 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)
Triplex Parameters and Internals
| LLM Name | Triplex |
| Repository 🤗 | https://huggingface.co/SciPhi/Triplex |
| Model Size | 3.8b |
| Required VRAM | 7.7 GB |
| Updated | 2025-02-22 |
| Maintainer | SciPhi |
| Model Type | phi3 |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf|q4|q4_k |
| Model Architecture | Phi3ForCausalLM |
| License | cc-by-nc-sa-4.0 |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.43.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 32064 |
| Torch Data Type | bfloat16 |
Best Alternatives to Triplex
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Phi3 Wbn | 128K / 7.7 GB | 6 | 0 |
| ...nstruct Cinder With 16bit GGUF | 4K / 7.7 GB | 38 | 1 |
| ...lGPaZOPFAdwfSGHVSdDWKCnIOqsYsc | 128K / 4 GB | 70 | 0 |
| Ph3 Q8 | 128K / 4 GB | 69 | 0 |
| Bioinspired Phi 3 Mini 128K | 128K / 7.7 GB | 59 | 0 |
| Bioinspired Phi 3 Mini 4K | 4K / 7.7 GB | 54 | 0 |
| Phi 3.5 Mini Instruct | 128K / 7.7 GB | 721615 | 819 |
| Phi 3 Mini 128K Instruct | 128K / 7.7 GB | 174176 | 1636 |
| NuExtract 1.5 | 128K / 7.7 GB | 115378 | 198 |
| NuExtract V1.5 | 128K / 7.7 GB | 108511 | 89 |
Note: green Score (e.g. "73.2") means that the model is better than SciPhi/Triplex .
Rank the Triplex Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227