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tensorblock/
eternis_eternis_sft_tool_calling_Qwen0.6B_27jul_merged-GGUF

Name: eternis_eternis_sft_tool_calling_Qwen0.6B_27jul_merged-GGUF
Availability: InStock

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eternis/eternis_sft_tool_calling_Qwen0.6B_27jul_merged

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eternis/eternis_sft_tool_calling_Qwen0.6B_27jul_merged - GGUF

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This repo contains GGUF format model files for eternis/eternis_sft_tool_calling_Qwen0.6B_27jul_merged.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b5753.

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Prompt template

<|im_start|>system
{system_prompt}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant

Model file specification

Filename	Quant type	File Size	Description
eternis_sft_tool_calling_Qwen0.6B_27jul_merged-Q2_K.gguf	Q2_K	0.296 GB	smallest, significant quality loss - not recommended for most purposes
eternis_sft_tool_calling_Qwen0.6B_27jul_merged-Q3_K_S.gguf	Q3_K_S	0.323 GB	very small, high quality loss
eternis_sft_tool_calling_Qwen0.6B_27jul_merged-Q3_K_M.gguf	Q3_K_M	0.347 GB	very small, high quality loss
eternis_sft_tool_calling_Qwen0.6B_27jul_merged-Q3_K_L.gguf	Q3_K_L	0.368 GB	small, substantial quality loss
eternis_sft_tool_calling_Qwen0.6B_27jul_merged-Q4_0.gguf	Q4_0	0.382 GB	legacy; small, very high quality loss - prefer using Q3_K_M
eternis_sft_tool_calling_Qwen0.6B_27jul_merged-Q4_K_S.gguf	Q4_K_S	0.383 GB	small, greater quality loss
eternis_sft_tool_calling_Qwen0.6B_27jul_merged-Q4_K_M.gguf	Q4_K_M	0.397 GB	medium, balanced quality - recommended
eternis_sft_tool_calling_Qwen0.6B_27jul_merged-Q5_0.gguf	Q5_0	0.437 GB	legacy; medium, balanced quality - prefer using Q4_K_M
eternis_sft_tool_calling_Qwen0.6B_27jul_merged-Q5_K_S.gguf	Q5_K_S	0.437 GB	large, low quality loss - recommended
eternis_sft_tool_calling_Qwen0.6B_27jul_merged-Q5_K_M.gguf	Q5_K_M	0.444 GB	large, very low quality loss - recommended
eternis_sft_tool_calling_Qwen0.6B_27jul_merged-Q6_K.gguf	Q6_K	0.495 GB	very large, extremely low quality loss
eternis_sft_tool_calling_Qwen0.6B_27jul_merged-Q8_0.gguf	Q8_0	0.639 GB	very large, extremely low quality loss - not recommended

Downloading instruction

Command line

Firstly, install Huggingface Client

pip install -U "huggingface_hub[cli]"

Then, downoad the individual model file the a local directory

huggingface-cli download tensorblock/eternis_eternis_sft_tool_calling_Qwen0.6B_27jul_merged-GGUF --include "eternis_sft_tool_calling_Qwen0.6B_27jul_merged-Q2_K.gguf" --local-dir MY_LOCAL_DIR

If you wanna download multiple model files with a pattern (e.g., *Q4_K*gguf), you can try:

huggingface-cli download tensorblock/eternis_eternis_sft_tool_calling_Qwen0.6B_27jul_merged-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'