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base_model: CohereForAI/aya-23-8B
tags:
- TensorBlock
- GGUF
CohereForAI/aya-23-8B - GGUF
This repo contains GGUF format model files for CohereForAI/aya-23-8B.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4011.
Our projects
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| An OpenAI-compatible multi-provider routing layer. | |
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<BOS_TOKEN><|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>{system_prompt}<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|USER_TOKEN|>{prompt}<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>
Model file specification
| Filename | Quant type | File Size | Description |
|---|---|---|---|
| aya-23-8B-Q2_K.gguf | Q2_K | 3.438 GB | smallest, significant quality loss - not recommended for most purposes |
| aya-23-8B-Q3_K_S.gguf | Q3_K_S | 3.871 GB | very small, high quality loss |
| aya-23-8B-Q3_K_M.gguf | Q3_K_M | 4.225 GB | very small, high quality loss |
| aya-23-8B-Q3_K_L.gguf | Q3_K_L | 4.528 GB | small, substantial quality loss |
| aya-23-8B-Q4_0.gguf | Q4_0 | 4.797 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| aya-23-8B-Q4_K_S.gguf | Q4_K_S | 4.829 GB | small, greater quality loss |
| aya-23-8B-Q4_K_M.gguf | Q4_K_M | 5.057 GB | medium, balanced quality - recommended |
| aya-23-8B-Q5_0.gguf | Q5_0 | 5.670 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| aya-23-8B-Q5_K_S.gguf | Q5_K_S | 5.670 GB | large, low quality loss - recommended |
| aya-23-8B-Q5_K_M.gguf | Q5_K_M | 5.804 GB | large, very low quality loss - recommended |
| aya-23-8B-Q6_K.gguf | Q6_K | 6.597 GB | very large, extremely low quality loss |
| aya-23-8B-Q8_0.gguf | Q8_0 | 8.541 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/aya-23-8B-GGUF --include "aya-23-8B-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/aya-23-8B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'