MaziyarPanahi/calme-2.4-llama3-70b - GGUF
This repo contains GGUF format model files for MaziyarPanahi/calme-2.4-llama3-70b.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4242.
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Model file specification
| Filename | Quant type | File Size | Description | 
|---|---|---|---|
| calme-2.4-llama3-70b-Q2_K.gguf | Q2_K | 26.375 GB | smallest, significant quality loss - not recommended for most purposes | 
| calme-2.4-llama3-70b-Q3_K_S.gguf | Q3_K_S | 30.912 GB | very small, high quality loss | 
| calme-2.4-llama3-70b-Q3_K_M.gguf | Q3_K_M | 34.268 GB | very small, high quality loss | 
| calme-2.4-llama3-70b-Q3_K_L.gguf | Q3_K_L | 37.141 GB | small, substantial quality loss | 
| calme-2.4-llama3-70b-Q4_0.gguf | Q4_0 | 39.970 GB | legacy; small, very high quality loss - prefer using Q3_K_M | 
| calme-2.4-llama3-70b-Q4_K_S.gguf | Q4_K_S | 40.347 GB | small, greater quality loss | 
| calme-2.4-llama3-70b-Q4_K_M.gguf | Q4_K_M | 42.520 GB | medium, balanced quality - recommended | 
| calme-2.4-llama3-70b-Q5_0.gguf | Q5_0 | 48.657 GB | legacy; medium, balanced quality - prefer using Q4_K_M | 
| calme-2.4-llama3-70b-Q5_K_S.gguf | Q5_K_S | 48.657 GB | large, low quality loss - recommended | 
| calme-2.4-llama3-70b-Q5_K_M.gguf | Q5_K_M | 49.950 GB | large, very low quality loss - recommended | 
| calme-2.4-llama3-70b-Q6_K | Q6_K | 57.888 GB | very large, extremely low quality loss | 
| calme-2.4-llama3-70b-Q8_0 | Q8_0 | 74.975 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/calme-2.4-llama3-70b-GGUF --include "calme-2.4-llama3-70b-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/calme-2.4-llama3-70b-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
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Model tree for tensorblock/calme-2.4-llama3-70b-GGUF
Base model
meta-llama/Meta-Llama-3-70B
				Finetuned
	
	
meta-llama/Meta-Llama-3-70B-Instruct
						
				Finetuned
	
	
MaziyarPanahi/calme-2.4-llama3-70b
						Dataset used to train tensorblock/calme-2.4-llama3-70b-GGUF
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard72.610
 - normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard86.030
 - accuracy on MMLU (5-Shot)test set Open LLM Leaderboard80.500
 - mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard63.260
 - accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard83.580
 - accuracy on GSM8k (5-shot)test set Open LLM Leaderboard87.340
 - strict accuracy on IFEval (0-Shot)Open LLM Leaderboard50.270
 - normalized accuracy on BBH (3-Shot)Open LLM Leaderboard48.400
 - exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard22.660
 - acc_norm on GPQA (0-shot)Open LLM Leaderboard11.970
 
    
