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mncai_Mistral-7B-CollectiveCognition-GGUF
tensorblock/mncai_Mistral-7B-CollectiveCognition-GGUF
mncai_Mistral-7B-CollectiveCognition-GGUF is a text generation model from tensorblock. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
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All-time downloads
871
Public
Repo size
54.6 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.gguf2.7 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- mit
- Access
- Public
- Created
- May 5, 2025
- Updated
- Jan 27, 2026
- SHA
- 11ca26e4
Try a prompt
Base models
Model card
From the Hugging Face model README
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mncai/Mistral-7B-CollectiveCognition - GGUF
This repo contains GGUF format model files for mncai/Mistral-7B-CollectiveCognition.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b5165.
Our projects
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Model file specification
| Filename | Quant type | File Size | Description |
|---|---|---|---|
| Mistral-7B-CollectiveCognition-Q2_K.gguf | Q2_K | 2.719 GB | smallest, significant quality loss - not recommended for most purposes |
| Mistral-7B-CollectiveCognition-Q3_K_S.gguf | Q3_K_S | 3.165 GB | very small, high quality loss |
| Mistral-7B-CollectiveCognition-Q3_K_M.gguf | Q3_K_M | 3.519 GB | very small, high quality loss |
| Mistral-7B-CollectiveCognition-Q3_K_L.gguf | Q3_K_L | 3.822 GB | small, substantial quality loss |
| Mistral-7B-CollectiveCognition-Q4_0.gguf | Q4_0 | 4.109 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| Mistral-7B-CollectiveCognition-Q4_K_S.gguf | Q4_K_S | 4.140 GB | small, greater quality loss |
| Mistral-7B-CollectiveCognition-Q4_K_M.gguf | Q4_K_M | 4.368 GB | medium, balanced quality - recommended |
| Mistral-7B-CollectiveCognition-Q5_0.gguf | Q5_0 | 4.998 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| Mistral-7B-CollectiveCognition-Q5_K_S.gguf | Q5_K_S | 4.998 GB | large, low quality loss - recommended |
| Mistral-7B-CollectiveCognition-Q5_K_M.gguf | Q5_K_M | 5.131 GB | large, very low quality loss - recommended |
| Mistral-7B-CollectiveCognition-Q6_K.gguf | Q6_K | 5.942 GB | very large, extremely low quality loss |
| Mistral-7B-CollectiveCognition-Q8_0.gguf | Q8_0 | 7.696 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/mncai_Mistral-7B-CollectiveCognition-GGUF --include "Mistral-7B-CollectiveCognition-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/mncai_Mistral-7B-CollectiveCognition-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
- Task
- Text Generation
- Library
- transformers
- License
- mit
- Languages
- en
- Created
- May 5, 2025
- Updated
- Jan 27, 2026