metadata
license: other
license_name: yi-license
license_link: https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE
datasets:
- ai2_arc
- unalignment/spicy-3.1
- codeparrot/apps
- facebook/belebele
- boolq
- jondurbin/cinematika-v0.1
- drop
- lmsys/lmsys-chat-1m
- TIGER-Lab/MathInstruct
- cais/mmlu
- Muennighoff/natural-instructions
- openbookqa
- piqa
- Vezora/Tested-22k-Python-Alpaca
- cakiki/rosetta-code
- Open-Orca/SlimOrca
- spider
- squad_v2
- migtissera/Synthia-v1.3
- datasets/winogrande
- nvidia/HelpSteer
- Intel/orca_dpo_pairs
- unalignment/toxic-dpo-v0.1
- jondurbin/truthy-dpo-v0.1
- allenai/ultrafeedback_binarized_cleaned
- Squish42/bluemoon-fandom-1-1-rp-cleaned
- LDJnr/Capybara
- JULIELab/EmoBank
- kingbri/PIPPA-shareGPT
tags:
- TensorBlock
- GGUF
base_model: jondurbin/nontoxic-bagel-34b-v0.2
Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server
jondurbin/nontoxic-bagel-34b-v0.2 - GGUF
This repo contains GGUF format model files for jondurbin/nontoxic-bagel-34b-v0.2.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4242.
Prompt template
[INST] <<SYS>>
{system_prompt}
<</SYS>>
{prompt} [/INST]
Model file specification
| Filename | Quant type | File Size | Description |
|---|---|---|---|
| nontoxic-bagel-34b-v0.2-Q2_K.gguf | Q2_K | 12.825 GB | smallest, significant quality loss - not recommended for most purposes |
| nontoxic-bagel-34b-v0.2-Q3_K_S.gguf | Q3_K_S | 14.960 GB | very small, high quality loss |
| nontoxic-bagel-34b-v0.2-Q3_K_M.gguf | Q3_K_M | 16.655 GB | very small, high quality loss |
| nontoxic-bagel-34b-v0.2-Q3_K_L.gguf | Q3_K_L | 18.139 GB | small, substantial quality loss |
| nontoxic-bagel-34b-v0.2-Q4_0.gguf | Q4_0 | 19.467 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| nontoxic-bagel-34b-v0.2-Q4_K_S.gguf | Q4_K_S | 19.599 GB | small, greater quality loss |
| nontoxic-bagel-34b-v0.2-Q4_K_M.gguf | Q4_K_M | 20.659 GB | medium, balanced quality - recommended |
| nontoxic-bagel-34b-v0.2-Q5_0.gguf | Q5_0 | 23.708 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| nontoxic-bagel-34b-v0.2-Q5_K_S.gguf | Q5_K_S | 23.708 GB | large, low quality loss - recommended |
| nontoxic-bagel-34b-v0.2-Q5_K_M.gguf | Q5_K_M | 24.322 GB | large, very low quality loss - recommended |
| nontoxic-bagel-34b-v0.2-Q6_K.gguf | Q6_K | 28.214 GB | very large, extremely low quality loss |
| nontoxic-bagel-34b-v0.2-Q8_0.gguf | Q8_0 | 36.542 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/nontoxic-bagel-34b-v0.2-GGUF --include "nontoxic-bagel-34b-v0.2-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/nontoxic-bagel-34b-v0.2-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'