--- base_model: speakleash/Bielik-1.5B-v3.0-Instruct license: apache-2.0 model_creator: speakleash model_name: Bielik-1.5B-v3.0-Instruct quantized_by: Second State Inc. language: - pl library_name: transformers inference: parameters: temperature: 0.4 ---

# Bielik-1.5B-v3.0-Instruct-GGUF ## Original Model [speakleash/Bielik-1.5B-v3.0-Instruct](https://huggingface.co/speakleash/Bielik-1.5B-v3.0-Instruct) ## Run with LlamaEdge - LlamaEdge version: [v0.18.3](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.18.3) - Prompt template - Prompt type: `chatml` - Prompt string ```text <|im_start|>system {system_message}<|im_end|> <|im_start|>user {prompt}<|im_end|> <|im_start|>assistant ``` - Context size: `8192` - Run as LlamaEdge service ```bash wasmedge --dir .:. --nn-preload default:GGML:AUTO:Bielik-1.5B-v3.0-Instruct-Q5_K_M.gguf \ llama-api-server.wasm \ --model-name Bielik-1.5B-v3.0-Instruct \ --prompt-template chatml \ --ctx-size 8192 ``` - Run as LlamaEdge command app ```bash wasmedge --dir .:. --nn-preload default:GGML:AUTO:Bielik-1.5B-v3.0-Instruct-Q5_K_M.gguf \ llama-chat.wasm \ --prompt-template chatml \ --ctx-size 8192 ``` ## Quantized GGUF Models | Name | Quant method | Bits | Size | Use case | | ---- | ---- | ---- | ---- | ----- | | [Bielik-1.5B-v3.0-Instruct-Q2_K.gguf](https://huggingface.co/second-state/Bielik-1.5B-v3.0-Instruct-GGUF/blob/main/Bielik-1.5B-v3.0-Instruct-Q2_K.gguf) | Q2_K | 2 | 607 MB| smallest, significant quality loss - not recommended for most purposes | | [Bielik-1.5B-v3.0-Instruct-Q3_K_L.gguf](https://huggingface.co/second-state/Bielik-1.5B-v3.0-Instruct-GGUF/blob/main/Bielik-1.5B-v3.0-Instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 845 MB| small, substantial quality loss | | [Bielik-1.5B-v3.0-Instruct-Q3_K_M.gguf](https://huggingface.co/second-state/Bielik-1.5B-v3.0-Instruct-GGUF/blob/main/Bielik-1.5B-v3.0-Instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 783 MB| very small, high quality loss | | [Bielik-1.5B-v3.0-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/Bielik-1.5B-v3.0-Instruct-GGUF/blob/main/Bielik-1.5B-v3.0-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 709 MB| very small, high quality loss | | [Bielik-1.5B-v3.0-Instruct-Q4_0.gguf](https://huggingface.co/second-state/Bielik-1.5B-v3.0-Instruct-GGUF/blob/main/Bielik-1.5B-v3.0-Instruct-Q4_0.gguf) | Q4_0 | 4 | 914 MB| legacy; small, very high quality loss - prefer using Q3_K_M | | [Bielik-1.5B-v3.0-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/Bielik-1.5B-v3.0-Instruct-GGUF/blob/main/Bielik-1.5B-v3.0-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 973 MB| medium, balanced quality - recommended | | [Bielik-1.5B-v3.0-Instruct-Q4_K_S.gguf](https://huggingface.co/second-state/Bielik-1.5B-v3.0-Instruct-GGUF/blob/main/Bielik-1.5B-v3.0-Instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 921 MB| small, greater quality loss | | [Bielik-1.5B-v3.0-Instruct-Q5_0.gguf](https://huggingface.co/second-state/Bielik-1.5B-v3.0-Instruct-GGUF/blob/main/Bielik-1.5B-v3.0-Instruct-Q5_0.gguf) | Q5_0 | 5 | 1.11 GB| legacy; medium, balanced quality - prefer using Q4_K_M | | [Bielik-1.5B-v3.0-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/Bielik-1.5B-v3.0-Instruct-GGUF/blob/main/Bielik-1.5B-v3.0-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 1.14 GB| large, very low quality loss - recommended | | [Bielik-1.5B-v3.0-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/Bielik-1.5B-v3.0-Instruct-GGUF/blob/main/Bielik-1.5B-v3.0-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 1.11 GB| large, low quality loss - recommended | | [Bielik-1.5B-v3.0-Instruct-Q6_K.gguf](https://huggingface.co/second-state/Bielik-1.5B-v3.0-Instruct-GGUF/blob/main/Bielik-1.5B-v3.0-Instruct-Q6_K.gguf) | Q6_K | 6 | 1.31 GB| very large, extremely low quality loss | | [Bielik-1.5B-v3.0-Instruct-Q8_0.gguf](https://huggingface.co/second-state/Bielik-1.5B-v3.0-Instruct-GGUF/blob/main/Bielik-1.5B-v3.0-Instruct-Q8_0.gguf) | Q8_0 | 8 | 1.70 GB| very large, extremely low quality loss - not recommended | | [Bielik-1.5B-v3.0-Instruct-f16.gguf](https://huggingface.co/second-state/Bielik-1.5B-v3.0-Instruct-GGUF/blob/main/Bielik-1.5B-v3.0-Instruct-f16.gguf) | f16 | 16 | 3.20 GB| | *Quantized with llama.cpp b5201*