
Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server
prithivMLmods/Gauss-Opus-14B-R999 - GGUF
This repo contains GGUF format model files for prithivMLmods/Gauss-Opus-14B-R999.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4882.
Prompt template
<|begin▁of▁sentence|>{system_prompt}<|User|>{prompt}<|Assistant|><think>
Model file specification
Filename | Quant type | File Size | Description |
---|---|---|---|
Gauss-Opus-14B-R999-Q2_K.gguf | Q2_K | 0.006 GB | smallest, significant quality loss - not recommended for most purposes |
Gauss-Opus-14B-R999-Q3_K_S.gguf | Q3_K_S | 0.006 GB | very small, high quality loss |
Gauss-Opus-14B-R999-Q3_K_M.gguf | Q3_K_M | 0.006 GB | very small, high quality loss |
Gauss-Opus-14B-R999-Q3_K_L.gguf | Q3_K_L | 0.006 GB | small, substantial quality loss |
Gauss-Opus-14B-R999-Q4_0.gguf | Q4_0 | 0.006 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
Gauss-Opus-14B-R999-Q4_K_S.gguf | Q4_K_S | 0.006 GB | small, greater quality loss |
Gauss-Opus-14B-R999-Q4_K_M.gguf | Q4_K_M | 0.006 GB | medium, balanced quality - recommended |
Gauss-Opus-14B-R999-Q5_0.gguf | Q5_0 | 0.006 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
Gauss-Opus-14B-R999-Q5_K_S.gguf | Q5_K_S | 0.006 GB | large, low quality loss - recommended |
Gauss-Opus-14B-R999-Q5_K_M.gguf | Q5_K_M | 0.006 GB | large, very low quality loss - recommended |
Gauss-Opus-14B-R999-Q6_K.gguf | Q6_K | 0.006 GB | very large, extremely low quality loss |
Gauss-Opus-14B-R999-Q8_0.gguf | Q8_0 | 0.006 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/Gauss-Opus-14B-R999-GGUF --include "Gauss-Opus-14B-R999-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/Gauss-Opus-14B-R999-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
- Downloads last month
- 266
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
Model tree for tensorblock/Gauss-Opus-14B-R999-GGUF
Base model
Qwen/Qwen2.5-14B
Finetuned
Qwen/Qwen2.5-14B-Instruct
Finetuned
prithivMLmods/Gauss-Opus-14B-R999
Evaluation results
- averaged accuracy on IFEval (0-Shot)Open LLM Leaderboard39.070
- normalized accuracy on BBH (3-Shot)test set Open LLM Leaderboard44.940
- exact match on MATH Lvl 5 (4-Shot)test set Open LLM Leaderboard57.550
- acc_norm on GPQA (0-shot)Open LLM Leaderboard18.900
- acc_norm on MuSR (0-shot)Open LLM Leaderboard27.830
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard44.530