8-bit Base model:prithivmlmods/llama... Base model:quantized:prithivml... Conversational Dataset:huggingfacetb/smoltalk En Endpoints compatible F16 Fp16 Gguf Instruct Llama Llama-cpp Ollama Quantized Region:us Safetensors Smoltalk
Model Card on HF 🤗: https://huggingface.co/prithivMLmods/Llama-SmolTalk-3.2-1B-Instruct-GGUF
Llama SmolTalk 3.2 1B Instruct 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)
Llama SmolTalk 3.2 1B Instruct GGUF Parameters and Internals
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| LLM Name | Llama SmolTalk 3.2 1B Instruct GGUF |
| Repository 🤗 | https://huggingface.co/prithivMLmods/Llama-SmolTalk-3.2-1B-Instruct-GGUF |
| Base Model(s) | |
| Model Size | 1b |
| Required VRAM | 0.8 GB |
| Updated | 2024-12-06 |
| Maintainer | prithivMLmods |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| GGUF Quantization | Yes |
| Quantization Type | fp16|gguf |
| Model Architecture | AutoModel |
| License | creativeml-openrail-m |
Rank the Llama SmolTalk 3.2 1B Instruct GGUF Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124