Hugging Face's logo

tensorblock
/
falcon-mamba-7b-instruct-GGUF

Text Generation
GGUF
English
TensorBlock
GGUF
Inference Endpoints
conversational
Model card Files Community
falcon-mamba-7b-instruct-GGUF / README.md
morriszms's picture
morriszms
Upload folder using huggingface_hub
30ad9d9 verified
preview code
|
raw
history blame contribute delete
5.3 kB
metadata
datasets:
  - tiiuae/falcon-refinedweb
  - HuggingFaceFW/fineweb-edu
language:
  - en
license: other
license_name: falcon-mamba-7b-license
license_link: https://falconllm.tii.ae/falcon-mamba-7b-terms-and-conditions.html
base_model: tiiuae/falcon-mamba-7b-instruct
pipeline_tag: text-generation
inference: true
tags:
  - TensorBlock
  - GGUF
TensorBlock

Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server

tiiuae/falcon-mamba-7b-instruct - GGUF

This repo contains GGUF format model files for tiiuae/falcon-mamba-7b-instruct.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4011.

Prompt template 

<|begin_of_text|><|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
falcon-mamba-7b-instruct-Q2_K.gguf Q2_K 2.389 GB smallest, significant quality loss - not recommended for most purposes
falcon-mamba-7b-instruct-Q3_K_S.gguf Q3_K_S 3.050 GB very small, high quality loss
falcon-mamba-7b-instruct-Q3_K_M.gguf Q3_K_M 3.050 GB very small, high quality loss
falcon-mamba-7b-instruct-Q3_K_L.gguf Q3_K_L 3.050 GB small, substantial quality loss
falcon-mamba-7b-instruct-Q4_0.gguf Q4_0 3.915 GB legacy; small, very high quality loss - prefer using Q3_K_M
falcon-mamba-7b-instruct-Q4_K_S.gguf Q4_K_S 3.915 GB small, greater quality loss
falcon-mamba-7b-instruct-Q4_K_M.gguf Q4_K_M 3.915 GB medium, balanced quality - recommended
falcon-mamba-7b-instruct-Q5_0.gguf Q5_0 4.730 GB legacy; medium, balanced quality - prefer using Q4_K_M
falcon-mamba-7b-instruct-Q5_K_S.gguf Q5_K_S 4.730 GB large, low quality loss - recommended
falcon-mamba-7b-instruct-Q5_K_M.gguf Q5_K_M 4.730 GB large, very low quality loss - recommended
falcon-mamba-7b-instruct-Q6_K.gguf Q6_K 5.595 GB very large, extremely low quality loss
falcon-mamba-7b-instruct-Q8_0.gguf Q8_0 7.232 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/falcon-mamba-7b-instruct-GGUF --include "falcon-mamba-7b-instruct-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/falcon-mamba-7b-instruct-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'