--- base_model: thirdeyeai/Llama-3.2-3B-Instruct-Uncensored model_creator: thirdeyeai model_name: Llama-3.2-3B-Instruct-Uncensored quantized_by: Second State Inc. library_name: transformers ---

# Llama-3.2-3B-Instruct-Uncensored-GGUF ## Original Model [thirdeyeai/Llama-3.2-3B-Instruct-Uncensored](https://huggingface.co/thirdeyeai/Llama-3.2-3B-Instruct-Uncensored) ## Run with LlamaEdge - LlamaEdge version: [v0.16.8](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.16.8) and above - Prompt template - Prompt type for chat: `llama-3-chat` - Prompt string ```text <|begin_of_text|><|start_header_id|>system<|end_header_id|> {{ system_prompt }}<|eot_id|><|start_header_id|>user<|end_header_id|> {{ user_message_1 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|> {{ model_answer_1 }}<|eot_id|><|start_header_id|>user<|end_header_id|> {{ user_message_2 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|> ``` - Prompt type for tool use: `llama-3-tool` - Prompt string ```text <|begin_of_text|><|start_header_id|>system<|end_header_id|> {system_message}<|eot_id|><|start_header_id|>user<|end_header_id|> Given the following functions, please respond with a JSON for a function call with its proper arguments that best answers the given prompt. Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}. Do not use variables. [{"type":"function","function":{"name":"get_current_weather","description":"Get the current weather in a given location","parameters":{"type":"object","properties":{"location":{"type":"string","description":"The city and state, e.g. San Francisco, CA"},"unit":{"type":"string","description":"The temperature unit to use. Infer this from the users location.","enum":["celsius","fahrenheit"]}},"required":["location","unit"]}}}] Question: {user_message}<|eot_id|><|start_header_id|>assistant<|end_header_id|> ``` - Context size: `128000` - Run as LlamaEdge service - Chat ```bash wasmedge --dir .:. --nn-preload default:GGML:AUTO:Llama-3.2-3B-Instruct-Uncensored-Q5_K_M.gguf \ llama-api-server.wasm \ --prompt-template llama-3-chat \ --ctx-size 128000 \ --model-name Llama-3.2-3b ``` - Tool use ```bash wasmedge --dir .:. --nn-preload default:GGML:AUTO:Llama-3.2-3B-Instruct-Uncensored-Q5_K_M.gguf \ llama-api-server.wasm \ --prompt-template llama-3-tool \ --ctx-size 128000 \ --model-name Llama-3.2-3b ``` - Run as LlamaEdge command app ```bash wasmedge --dir .:. --nn-preload default:GGML:AUTO:Llama-3.2-3B-Instruct-Uncensored-Q5_K_M.gguf \ llama-chat.wasm \ --prompt-template llama-3-chat \ --ctx-size 128000 ``` ## Quantized GGUF Models | Name | Quant method | Bits | Size | Use case | | ---- | ---- | ---- | ---- | ----- | | [Llama-3.2-3B-Instruct-Uncensored-Q2_K.gguf](https://huggingface.co/second-state/Llama-3.2-3B-Instruct-Uncensored-GGUF/blob/main/Llama-3.2-3B-Instruct-Uncensored-Q2_K.gguf) | Q2_K | 2 | 1.49 GB| smallest, significant quality loss - not recommended for most purposes | | [Llama-3.2-3B-Instruct-Uncensored-Q3_K_L.gguf](https://huggingface.co/second-state/Llama-3.2-3B-Instruct-Uncensored-GGUF/blob/main/Llama-3.2-3B-Instruct-Uncensored-Q3_K_L.gguf) | Q3_K_L | 3 | 1.98 GB| small, substantial quality loss | | [Llama-3.2-3B-Instruct-Uncensored-Q3_K_M.gguf](https://huggingface.co/second-state/Llama-3.2-3B-Instruct-Uncensored-GGUF/blob/main/Llama-3.2-3B-Instruct-Uncensored-Q3_K_M.gguf) | Q3_K_M | 3 | 1.86 GB| very small, high quality loss | | [Llama-3.2-3B-Instruct-Uncensored-Q3_K_S.gguf](https://huggingface.co/second-state/Llama-3.2-3B-Instruct-Uncensored-GGUF/blob/main/Llama-3.2-3B-Instruct-Uncensored-Q3_K_S.gguf) | Q3_K_S | 3 | 1.71 GB| very small, high quality loss | | [Llama-3.2-3B-Instruct-Uncensored-Q4_0.gguf](https://huggingface.co/second-state/Llama-3.2-3B-Instruct-Uncensored-GGUF/blob/main/Llama-3.2-3B-Instruct-Uncensored-Q4_0.gguf) | Q4_0 | 4 | 2.14 GB| legacy; small, very high quality loss - prefer using Q3_K_M | | [Llama-3.2-3B-Instruct-Uncensored-Q4_K_M.gguf](https://huggingface.co/second-state/Llama-3.2-3B-Instruct-Uncensored-GGUF/blob/main/Llama-3.2-3B-Instruct-Uncensored-Q4_K_M.gguf) | Q4_K_M | 4 | 2.24 GB| medium, balanced quality - recommended | | [Llama-3.2-3B-Instruct-Uncensored-Q4_K_S.gguf](https://huggingface.co/second-state/Llama-3.2-3B-Instruct-Uncensored-GGUF/blob/main/Llama-3.2-3B-Instruct-Uncensored-Q4_K_S.gguf) | Q4_K_S | 4 | 2.15 GB| small, greater quality loss | | [Llama-3.2-3B-Instruct-Uncensored-Q5_0.gguf](https://huggingface.co/second-state/Llama-3.2-3B-Instruct-Uncensored-GGUF/blob/main/Llama-3.2-3B-Instruct-Uncensored-Q5_0.gguf) | Q5_0 | 5 | 2.54 GB| legacy; medium, balanced quality - prefer using Q4_K_M | | [Llama-3.2-3B-Instruct-Uncensored-Q5_K_M.gguf](https://huggingface.co/second-state/Llama-3.2-3B-Instruct-Uncensored-GGUF/blob/main/Llama-3.2-3B-Instruct-Uncensored-Q5_K_M.gguf) | Q5_K_M | 5 | 2.59 GB| large, very low quality loss - recommended | | [Llama-3.2-3B-Instruct-Uncensored-Q5_K_S.gguf](https://huggingface.co/second-state/Llama-3.2-3B-Instruct-Uncensored-GGUF/blob/main/Llama-3.2-3B-Instruct-Uncensored-Q5_K_S.gguf) | Q5_K_S | 5 | 2.54 GB| large, low quality loss - recommended | | [Llama-3.2-3B-Instruct-Uncensored-Q6_K.gguf](https://huggingface.co/second-state/Llama-3.2-3B-Instruct-Uncensored-GGUF/blob/main/Llama-3.2-3B-Instruct-Uncensored-Q6_K.gguf) | Q6_K | 6 | 2.97 GB| very large, extremely low quality loss | | [Llama-3.2-3B-Instruct-Uncensored-Q8_0.gguf](https://huggingface.co/second-state/Llama-3.2-3B-Instruct-Uncensored-GGUF/blob/main/Llama-3.2-3B-Instruct-Uncensored-Q8_0.gguf) | Q8_0 | 8 | 3.84 GB| very large, extremely low quality loss - not recommended | | [Llama-3.2-3B-Instruct-Uncensored-f16.gguf](https://huggingface.co/second-state/Llama-3.2-3B-Instruct-Uncensored-GGUF/blob/main/Llama-3.2-3B-Instruct-Uncensored-f16.gguf) | f16 | 16 | 7.22 GB| | *Quantized with llama.cpp b4681*