2-bit 3-bit 4-bit 5-bit 6-bit 8-bit Base model:maziyarpanahi/calme... Base model:quantized:maziyarpa... Conversational Gguf Instruct Mistral Phi Phi-3 Quantized Region:us
Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/calme-2.3-phi3-4b-GGUF
Calme 2.3 Phi3 4B GGUF 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)
Calme 2.3 Phi3 4B GGUF Parameters and Internals
| LLM Name | Calme 2.3 Phi3 4B GGUF |
| Repository 🤗 | https://huggingface.co/MaziyarPanahi/calme-2.3-phi3-4b-GGUF |
| Model Name | calme-2.3-phi3-4b-GGUF |
| Model Creator | MaziyarPanahi |
| Base Model(s) | |
| Model Size | 4b |
| Required VRAM | 1.4 GB |
| Updated | 2025-02-22 |
| Maintainer | MaziyarPanahi |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | AutoModel |
Best Alternatives to Calme 2.3 Phi3 4B GGUF
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Calme 2.2 Phi3 4B GGUF | 0K / 1.4 GB | 270 | 2 |
| Calme 2.1 Phi3 4B GGUF | 0K / 1.4 GB | 227 | 1 |
| AYA Mistral7B Instruct TR 4B | 0K / 0.3 GB | 0 | 6 |
Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/calme-2.3-phi3-4b-GGUF .
Rank the Calme 2.3 Phi3 4B GGUF Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227