--- license: cc-by-nc-4.0 model_name: xLAM-1b-fc-r base_model: Salesforce/xLAM-1b-fc-r inference: false model_creator: Salesforce quantized_by: Second State Inc. pipeline_tag: text-generation tags: - function-calling - LLM Agent - tool-use - deepseek language: - en --- <!-- header start --> <!-- 200823 --> <div style="width: auto; margin-left: auto; margin-right: auto"> <img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;"> </div> <hr style="margin-top: 1.0em; margin-bottom: 1.0em;"> <!-- header end --> # xLAM-1b-fc-r-GGUF ## Original Model [Salesforce/xLAM-1b-fc-r](https://huggingface.co/Salesforce/xLAM-1b-fc-r) ## Run with LlamaEdge - LlamaEdge version: coming soon <!-- - LlamaEdge version: [v0.14.0](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.14.0) and above - Prompt template - Prompt type: `chatml` - Prompt string ```text <|im_start|>system {system_message}<|im_end|> <|im_start|>user {prompt}<|im_end|> <|im_start|>assistant ``` - Reverse prompt: `<|im_end|>` - Run as LlamaEdge service ```bash wasmedge --dir .:. --nn-preload default:GGML:AUTO:xLAM-1b-fc-r-Q5_K_M.gguf llama-api-server.wasm -p chatml -r '<|im_end|>' ``` --> - Context size: `16000` <!-- - Run as LlamaEdge command app ```bash wasmedge --dir .:. --nn-preload default:GGML:AUTO:xLAM-1b-fc-r-Q5_K_M.gguf llama-chat.wasm -p chatml -r '<|im_end|>' ``` --> ## Quantized GGUF Models | Name | Quant method | Bits | Size | Use case | | ---- | ---- | ---- | ---- | ----- | | [xLAM-1b-fc-r-Q2_K.gguf](https://huggingface.co/second-state/xLAM-1b-fc-r-GGUF/blob/main/xLAM-1b-fc-r-Q2_K.gguf) | Q2_K | 2 | 560 MB| smallest, significant quality loss - not recommended for most purposes | | [xLAM-1b-fc-r-Q3_K_L.gguf](https://huggingface.co/second-state/xLAM-1b-fc-r-GGUF/blob/main/xLAM-1b-fc-r-Q3_K_L.gguf) | Q3_K_L | 3 | 744 MB| small, substantial quality loss | | [xLAM-1b-fc-r-Q3_K_M.gguf](https://huggingface.co/second-state/xLAM-1b-fc-r-GGUF/blob/main/xLAM-1b-fc-r-Q3_K_M.gguf) | Q3_K_M | 3 | 704 MB| very small, high quality loss | | [xLAM-1b-fc-r-Q3_K_S.gguf](https://huggingface.co/second-state/xLAM-1b-fc-r-GGUF/blob/main/xLAM-1b-fc-r-Q3_K_S.gguf) | Q3_K_S | 3 | 642 MB| very small, high quality loss | | [xLAM-1b-fc-r-Q4_0.gguf](https://huggingface.co/second-state/xLAM-1b-fc-r-GGUF/blob/main/xLAM-1b-fc-r-Q4_0.gguf) | Q4_0 | 4 | 776 MB| legacy; small, very high quality loss - prefer using Q3_K_M | | [xLAM-1b-fc-r-Q4_K_M.gguf](https://huggingface.co/second-state/xLAM-1b-fc-r-GGUF/blob/main/xLAM-1b-fc-r-Q4_K_M.gguf) | Q4_K_M | 4 | 873 MB| medium, balanced quality - recommended | | [xLAM-1b-fc-r-Q4_K_S.gguf](https://huggingface.co/second-state/xLAM-1b-fc-r-GGUF/blob/main/xLAM-1b-fc-r-Q4_K_S.gguf) | Q4_K_S | 4 | 814 MB| small, greater quality loss | | [xLAM-1b-fc-r-Q5_0.gguf](https://huggingface.co/second-state/xLAM-1b-fc-r-GGUF/blob/main/xLAM-1b-fc-r-Q5_0.gguf) | Q5_0 | 5 | 936 MB| legacy; medium, balanced quality - prefer using Q4_K_M | | [xLAM-1b-fc-r-Q5_K_M.gguf](https://huggingface.co/second-state/xLAM-1b-fc-r-GGUF/blob/main/xLAM-1b-fc-r-Q5_K_M.gguf) | Q5_K_M | 5 | 1.00 GB| large, very low quality loss - recommended | | [xLAM-1b-fc-r-Q5_K_S.gguf](https://huggingface.co/second-state/xLAM-1b-fc-r-GGUF/blob/main/xLAM-1b-fc-r-Q5_K_S.gguf) | Q5_K_S | 5 | 953 MB| large, low quality loss - recommended | | [xLAM-1b-fc-r-Q6_K.gguf](https://huggingface.co/second-state/xLAM-1b-fc-r-GGUF/blob/main/xLAM-1b-fc-r-Q6_K.gguf) | Q6_K | 6 | 1.17 GB| very large, extremely low quality loss | | [xLAM-1b-fc-r-Q8_0.gguf](https://huggingface.co/second-state/xLAM-1b-fc-r-GGUF/blob/main/xLAM-1b-fc-r-Q8_0.gguf) | Q8_0 | 8 | 1.43 GB| very large, extremely low quality loss - not recommended | | [xLAM-1b-fc-r-f16.gguf](https://huggingface.co/second-state/xLAM-1b-fc-r-GGUF/blob/main/xLAM-1b-fc-r-f16.gguf) | f16 | 16 | 2.69 GB| | *Quantized with llama.cpp b3613.*