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base_model: CohereForAI/aya-23-35B
tags:
- TensorBlock
- GGUF
Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server
CohereForAI/aya-23-35B - GGUF
This repo contains GGUF format model files for CohereForAI/aya-23-35B.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4011.
Prompt template
<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-23-35B-Q2_K.gguf | Q2_K | 13.817 GB | smallest, significant quality loss - not recommended for most purposes |
| aya-23-35B-Q3_K_S.gguf | Q3_K_S | 15.862 GB | very small, high quality loss |
| aya-23-35B-Q3_K_M.gguf | Q3_K_M | 17.618 GB | very small, high quality loss |
| aya-23-35B-Q3_K_L.gguf | Q3_K_L | 19.149 GB | small, substantial quality loss |
| aya-23-35B-Q4_0.gguf | Q4_0 | 20.229 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| aya-23-35B-Q4_K_S.gguf | Q4_K_S | 20.378 GB | small, greater quality loss |
| aya-23-35B-Q4_K_M.gguf | Q4_K_M | 21.527 GB | medium, balanced quality - recommended |
| aya-23-35B-Q5_0.gguf | Q5_0 | 24.340 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| aya-23-35B-Q5_K_S.gguf | Q5_K_S | 24.340 GB | large, low quality loss - recommended |
| aya-23-35B-Q5_K_M.gguf | Q5_K_M | 25.008 GB | large, very low quality loss - recommended |
| aya-23-35B-Q6_K.gguf | Q6_K | 28.707 GB | very large, extremely low quality loss |
| aya-23-35B-Q8_0.gguf | Q8_0 | 37.179 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-23-35B-GGUF --include "aya-23-35B-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-23-35B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'