Hugging Face's logo

tensorblock
/
TenyxChat-8x7B-v1-GGUF

Transformers
GGUF
English
tenyx-fine-tuning
dpo
tenyxchat
TensorBlock
GGUF
Inference Endpoints
conversational
Model card Files Community
TenyxChat-8x7B-v1-GGUF / README.md
morriszms's picture
morriszms
Upload folder using huggingface_hub
17a5ea3 verified
preview code
|
raw
history blame contribute delete
4.83 kB
metadata
license: apache-2.0
language:
  - en
library_name: transformers
tags:
  - tenyx-fine-tuning
  - dpo
  - tenyxchat
  - TensorBlock
  - GGUF
datasets:
  - HuggingFaceH4/ultrafeedback_binarized
base_model: tenyx/TenyxChat-8x7B-v1
TensorBlock

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

tenyx/TenyxChat-8x7B-v1 - GGUF

This repo contains GGUF format model files for tenyx/TenyxChat-8x7B-v1.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4242.

Prompt template 

<s>[INST]{system_prompt}[/INST][INST]{prompt}[/INST]

Model file specification

Filename Quant type File Size Description
TenyxChat-8x7B-v1-Q2_K.gguf Q2_K 17.311 GB smallest, significant quality loss - not recommended for most purposes
TenyxChat-8x7B-v1-Q3_K_S.gguf Q3_K_S 20.433 GB very small, high quality loss
TenyxChat-8x7B-v1-Q3_K_M.gguf Q3_K_M 22.546 GB very small, high quality loss
TenyxChat-8x7B-v1-Q3_K_L.gguf Q3_K_L 24.170 GB small, substantial quality loss
TenyxChat-8x7B-v1-Q4_0.gguf Q4_0 26.444 GB legacy; small, very high quality loss - prefer using Q3_K_M
TenyxChat-8x7B-v1-Q4_K_S.gguf Q4_K_S 26.746 GB small, greater quality loss
TenyxChat-8x7B-v1-Q4_K_M.gguf Q4_K_M 28.448 GB medium, balanced quality - recommended
TenyxChat-8x7B-v1-Q5_0.gguf Q5_0 32.231 GB legacy; medium, balanced quality - prefer using Q4_K_M
TenyxChat-8x7B-v1-Q5_K_S.gguf Q5_K_S 32.231 GB large, low quality loss - recommended
TenyxChat-8x7B-v1-Q5_K_M.gguf Q5_K_M 33.230 GB large, very low quality loss - recommended
TenyxChat-8x7B-v1-Q6_K.gguf Q6_K 38.381 GB very large, extremely low quality loss
TenyxChat-8x7B-v1-Q8_0.gguf Q8_0 49.626 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/TenyxChat-8x7B-v1-GGUF --include "TenyxChat-8x7B-v1-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/TenyxChat-8x7B-v1-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'