Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server
OpenBuddy/openbuddy-qwen2.5llamaify-7b-v23.1-200k - GGUF
This repo contains GGUF format model files for OpenBuddy/openbuddy-qwen2.5llamaify-7b-v23.1-200k.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4011.
Prompt template
<|role|>system<|says|>{system_prompt}<|end|>
<|role|>user<|says|>{prompt}<|end|>
<|role|>assistant<|says|>
Model file specification
Filename | Quant type | File Size | Description |
---|---|---|---|
openbuddy-qwen2.5llamaify-7b-v23.1-200k-Q2_K.gguf | Q2_K | 3.015 GB | smallest, significant quality loss - not recommended for most purposes |
openbuddy-qwen2.5llamaify-7b-v23.1-200k-Q3_K_S.gguf | Q3_K_S | 3.492 GB | very small, high quality loss |
openbuddy-qwen2.5llamaify-7b-v23.1-200k-Q3_K_M.gguf | Q3_K_M | 3.808 GB | very small, high quality loss |
openbuddy-qwen2.5llamaify-7b-v23.1-200k-Q3_K_L.gguf | Q3_K_L | 4.088 GB | small, substantial quality loss |
openbuddy-qwen2.5llamaify-7b-v23.1-200k-Q4_0.gguf | Q4_0 | 4.431 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
openbuddy-qwen2.5llamaify-7b-v23.1-200k-Q4_K_S.gguf | Q4_K_S | 4.457 GB | small, greater quality loss |
openbuddy-qwen2.5llamaify-7b-v23.1-200k-Q4_K_M.gguf | Q4_K_M | 4.683 GB | medium, balanced quality - recommended |
openbuddy-qwen2.5llamaify-7b-v23.1-200k-Q5_0.gguf | Q5_0 | 5.315 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
openbuddy-qwen2.5llamaify-7b-v23.1-200k-Q5_K_S.gguf | Q5_K_S | 5.315 GB | large, low quality loss - recommended |
openbuddy-qwen2.5llamaify-7b-v23.1-200k-Q5_K_M.gguf | Q5_K_M | 5.444 GB | large, very low quality loss - recommended |
openbuddy-qwen2.5llamaify-7b-v23.1-200k-Q6_K.gguf | Q6_K | 6.254 GB | very large, extremely low quality loss |
openbuddy-qwen2.5llamaify-7b-v23.1-200k-Q8_0.gguf | Q8_0 | 8.098 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/openbuddy-qwen2.5llamaify-7b-v23.1-200k-GGUF --include "openbuddy-qwen2.5llamaify-7b-v23.1-200k-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/openbuddy-qwen2.5llamaify-7b-v23.1-200k-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
- Downloads last month
- 281
Model tree for tensorblock/openbuddy-qwen2.5llamaify-7b-v23.1-200k-GGUF
Base model
Qwen/Qwen2.5-7B
Finetuned
Qwen/Qwen2.5-7B-Instruct
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard56.730
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard36.400
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard11.400
- acc_norm on GPQA (0-shot)Open LLM Leaderboard8.610
- acc_norm on MuSR (0-shot)Open LLM Leaderboard13.810
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard32.750