Hugging Face's logo

tensorblock
/
CodeLlama-7b-finetuned-16bit-GGUF

Transformers
GGUF
English
text-generation-inference
unsloth
llama
trl
sft
TensorBlock
GGUF
Inference Endpoints
Model card Files Community
CodeLlama-7b-finetuned-16bit-GGUF / README.md
morriszms's picture
morriszms
Upload folder using huggingface_hub
6c3f4e4 verified
preview code
|
raw
history blame contribute delete
5.26 kB
metadata
base_model: EmTpro01/CodeLlama-7b-finetuned-16bit
language:
  - en
license: apache-2.0
tags:
  - text-generation-inference
  - transformers
  - unsloth
  - llama
  - trl
  - sft
  - TensorBlock
  - GGUF
datasets:
  - iamtarun/python_code_instructions_18k_alpaca
TensorBlock

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

EmTpro01/CodeLlama-7b-finetuned-16bit - GGUF

This repo contains GGUF format model files for EmTpro01/CodeLlama-7b-finetuned-16bit.

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

Prompt template

Model file specification

Filename Quant type File Size Description
CodeLlama-7b-finetuned-16bit-Q2_K.gguf Q2_K 2.533 GB smallest, significant quality loss - not recommended for most purposes
CodeLlama-7b-finetuned-16bit-Q3_K_S.gguf Q3_K_S 2.948 GB very small, high quality loss
CodeLlama-7b-finetuned-16bit-Q3_K_M.gguf Q3_K_M 3.298 GB very small, high quality loss
CodeLlama-7b-finetuned-16bit-Q3_K_L.gguf Q3_K_L 3.597 GB small, substantial quality loss
CodeLlama-7b-finetuned-16bit-Q4_0.gguf Q4_0 3.826 GB legacy; small, very high quality loss - prefer using Q3_K_M
CodeLlama-7b-finetuned-16bit-Q4_K_S.gguf Q4_K_S 3.857 GB small, greater quality loss
CodeLlama-7b-finetuned-16bit-Q4_K_M.gguf Q4_K_M 4.081 GB medium, balanced quality - recommended
CodeLlama-7b-finetuned-16bit-Q5_0.gguf Q5_0 4.652 GB legacy; medium, balanced quality - prefer using Q4_K_M
CodeLlama-7b-finetuned-16bit-Q5_K_S.gguf Q5_K_S 4.652 GB large, low quality loss - recommended
CodeLlama-7b-finetuned-16bit-Q5_K_M.gguf Q5_K_M 4.783 GB large, very low quality loss - recommended
CodeLlama-7b-finetuned-16bit-Q6_K.gguf Q6_K 5.529 GB very large, extremely low quality loss
CodeLlama-7b-finetuned-16bit-Q8_0.gguf Q8_0 7.161 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/CodeLlama-7b-finetuned-16bit-GGUF --include "CodeLlama-7b-finetuned-16bit-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/CodeLlama-7b-finetuned-16bit-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'