Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server
MaziyarPanahi/calme-2.3-llama3-70b - GGUF
This repo contains GGUF format model files for MaziyarPanahi/calme-2.3-llama3-70b.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4242.
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 |
---|---|---|---|
calme-2.3-llama3-70b-Q2_K.gguf | Q2_K | 26.375 GB | smallest, significant quality loss - not recommended for most purposes |
calme-2.3-llama3-70b-Q3_K_S.gguf | Q3_K_S | 30.912 GB | very small, high quality loss |
calme-2.3-llama3-70b-Q3_K_M.gguf | Q3_K_M | 34.268 GB | very small, high quality loss |
calme-2.3-llama3-70b-Q3_K_L.gguf | Q3_K_L | 37.141 GB | small, substantial quality loss |
calme-2.3-llama3-70b-Q4_0.gguf | Q4_0 | 39.970 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
calme-2.3-llama3-70b-Q4_K_S.gguf | Q4_K_S | 40.347 GB | small, greater quality loss |
calme-2.3-llama3-70b-Q4_K_M.gguf | Q4_K_M | 42.520 GB | medium, balanced quality - recommended |
calme-2.3-llama3-70b-Q5_0.gguf | Q5_0 | 48.657 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
calme-2.3-llama3-70b-Q5_K_S.gguf | Q5_K_S | 48.657 GB | large, low quality loss - recommended |
calme-2.3-llama3-70b-Q5_K_M.gguf | Q5_K_M | 49.950 GB | large, very low quality loss - recommended |
calme-2.3-llama3-70b-Q8_0 | Q6_K | 74.975 GB | very large, extremely low quality loss |
calme-2.3-llama3-70b-Q6_K | Q8_0 | 57.888 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-2.3-llama3-70b-GGUF --include "calme-2.3-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-2.3-llama3-70b-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
- Downloads last month
- 310
Model tree for tensorblock/calme-2.3-llama3-70b-GGUF
Base model
meta-llama/Meta-Llama-3-70B
Finetuned
meta-llama/Meta-Llama-3-70B-Instruct
Finetuned
MaziyarPanahi/calme-2.3-llama3-70b
Dataset used to train tensorblock/calme-2.3-llama3-70b-GGUF
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard72.350
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard86.000
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard80.470
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard63.450
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard82.950
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard87.190