Upload folder using huggingface_hub
Browse files- .gitattributes +12 -0
- README.md +112 -0
- nontoxic-bagel-34b-v0.2-Q2_K.gguf +3 -0
- nontoxic-bagel-34b-v0.2-Q3_K_L.gguf +3 -0
- nontoxic-bagel-34b-v0.2-Q3_K_M.gguf +3 -0
- nontoxic-bagel-34b-v0.2-Q3_K_S.gguf +3 -0
- nontoxic-bagel-34b-v0.2-Q4_0.gguf +3 -0
- nontoxic-bagel-34b-v0.2-Q4_K_M.gguf +3 -0
- nontoxic-bagel-34b-v0.2-Q4_K_S.gguf +3 -0
- nontoxic-bagel-34b-v0.2-Q5_0.gguf +3 -0
- nontoxic-bagel-34b-v0.2-Q5_K_M.gguf +3 -0
- nontoxic-bagel-34b-v0.2-Q5_K_S.gguf +3 -0
- nontoxic-bagel-34b-v0.2-Q6_K.gguf +3 -0
- nontoxic-bagel-34b-v0.2-Q8_0.gguf +3 -0
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nontoxic-bagel-34b-v0.2-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
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README.md
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1 |
+
---
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+
license: other
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+
license_name: yi-license
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+
license_link: https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE
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+
datasets:
|
6 |
+
- ai2_arc
|
7 |
+
- unalignment/spicy-3.1
|
8 |
+
- codeparrot/apps
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9 |
+
- facebook/belebele
|
10 |
+
- boolq
|
11 |
+
- jondurbin/cinematika-v0.1
|
12 |
+
- drop
|
13 |
+
- lmsys/lmsys-chat-1m
|
14 |
+
- TIGER-Lab/MathInstruct
|
15 |
+
- cais/mmlu
|
16 |
+
- Muennighoff/natural-instructions
|
17 |
+
- openbookqa
|
18 |
+
- piqa
|
19 |
+
- Vezora/Tested-22k-Python-Alpaca
|
20 |
+
- cakiki/rosetta-code
|
21 |
+
- Open-Orca/SlimOrca
|
22 |
+
- spider
|
23 |
+
- squad_v2
|
24 |
+
- migtissera/Synthia-v1.3
|
25 |
+
- datasets/winogrande
|
26 |
+
- nvidia/HelpSteer
|
27 |
+
- Intel/orca_dpo_pairs
|
28 |
+
- unalignment/toxic-dpo-v0.1
|
29 |
+
- jondurbin/truthy-dpo-v0.1
|
30 |
+
- allenai/ultrafeedback_binarized_cleaned
|
31 |
+
- Squish42/bluemoon-fandom-1-1-rp-cleaned
|
32 |
+
- LDJnr/Capybara
|
33 |
+
- JULIELab/EmoBank
|
34 |
+
- kingbri/PIPPA-shareGPT
|
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+
tags:
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- TensorBlock
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- GGUF
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+
base_model: jondurbin/nontoxic-bagel-34b-v0.2
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---
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40 |
+
|
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+
<div style="width: auto; margin-left: auto; margin-right: auto">
|
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<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
|
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+
</div>
|
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+
<div style="display: flex; justify-content: space-between; width: 100%;">
|
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<div style="display: flex; flex-direction: column; align-items: flex-start;">
|
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+
<p style="margin-top: 0.5em; margin-bottom: 0em;">
|
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+
Feedback and support: TensorBlock's <a href="https://x.com/tensorblock_aoi">Twitter/X</a>, <a href="https://t.me/TensorBlock">Telegram Group</a> and <a href="https://x.com/tensorblock_aoi">Discord server</a>
|
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</p>
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</div>
|
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</div>
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+
|
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## jondurbin/nontoxic-bagel-34b-v0.2 - GGUF
|
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|
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This repo contains GGUF format model files for [jondurbin/nontoxic-bagel-34b-v0.2](https://huggingface.co/jondurbin/nontoxic-bagel-34b-v0.2).
|
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|
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The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4242](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).
|
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+
|
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<div style="text-align: left; margin: 20px 0;">
|
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<a href="https://tensorblock.co/waitlist/client" style="display: inline-block; padding: 10px 20px; background-color: #007bff; color: white; text-decoration: none; border-radius: 5px; font-weight: bold;">
|
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Run them on the TensorBlock client using your local machine ↗
|
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</a>
|
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+
</div>
|
63 |
+
|
64 |
+
## Prompt template
|
65 |
+
|
66 |
+
```
|
67 |
+
[INST] <<SYS>>
|
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{system_prompt}
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<</SYS>>
|
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|
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{prompt} [/INST]
|
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+
```
|
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+
|
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## Model file specification
|
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+
|
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| Filename | Quant type | File Size | Description |
|
77 |
+
| -------- | ---------- | --------- | ----------- |
|
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| [nontoxic-bagel-34b-v0.2-Q2_K.gguf](https://huggingface.co/tensorblock/nontoxic-bagel-34b-v0.2-GGUF/blob/main/nontoxic-bagel-34b-v0.2-Q2_K.gguf) | Q2_K | 12.825 GB | smallest, significant quality loss - not recommended for most purposes |
|
79 |
+
| [nontoxic-bagel-34b-v0.2-Q3_K_S.gguf](https://huggingface.co/tensorblock/nontoxic-bagel-34b-v0.2-GGUF/blob/main/nontoxic-bagel-34b-v0.2-Q3_K_S.gguf) | Q3_K_S | 14.960 GB | very small, high quality loss |
|
80 |
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| [nontoxic-bagel-34b-v0.2-Q3_K_M.gguf](https://huggingface.co/tensorblock/nontoxic-bagel-34b-v0.2-GGUF/blob/main/nontoxic-bagel-34b-v0.2-Q3_K_M.gguf) | Q3_K_M | 16.655 GB | very small, high quality loss |
|
81 |
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| [nontoxic-bagel-34b-v0.2-Q3_K_L.gguf](https://huggingface.co/tensorblock/nontoxic-bagel-34b-v0.2-GGUF/blob/main/nontoxic-bagel-34b-v0.2-Q3_K_L.gguf) | Q3_K_L | 18.139 GB | small, substantial quality loss |
|
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+
| [nontoxic-bagel-34b-v0.2-Q4_0.gguf](https://huggingface.co/tensorblock/nontoxic-bagel-34b-v0.2-GGUF/blob/main/nontoxic-bagel-34b-v0.2-Q4_0.gguf) | Q4_0 | 19.467 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
|
83 |
+
| [nontoxic-bagel-34b-v0.2-Q4_K_S.gguf](https://huggingface.co/tensorblock/nontoxic-bagel-34b-v0.2-GGUF/blob/main/nontoxic-bagel-34b-v0.2-Q4_K_S.gguf) | Q4_K_S | 19.599 GB | small, greater quality loss |
|
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+
| [nontoxic-bagel-34b-v0.2-Q4_K_M.gguf](https://huggingface.co/tensorblock/nontoxic-bagel-34b-v0.2-GGUF/blob/main/nontoxic-bagel-34b-v0.2-Q4_K_M.gguf) | Q4_K_M | 20.659 GB | medium, balanced quality - recommended |
|
85 |
+
| [nontoxic-bagel-34b-v0.2-Q5_0.gguf](https://huggingface.co/tensorblock/nontoxic-bagel-34b-v0.2-GGUF/blob/main/nontoxic-bagel-34b-v0.2-Q5_0.gguf) | Q5_0 | 23.708 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
|
86 |
+
| [nontoxic-bagel-34b-v0.2-Q5_K_S.gguf](https://huggingface.co/tensorblock/nontoxic-bagel-34b-v0.2-GGUF/blob/main/nontoxic-bagel-34b-v0.2-Q5_K_S.gguf) | Q5_K_S | 23.708 GB | large, low quality loss - recommended |
|
87 |
+
| [nontoxic-bagel-34b-v0.2-Q5_K_M.gguf](https://huggingface.co/tensorblock/nontoxic-bagel-34b-v0.2-GGUF/blob/main/nontoxic-bagel-34b-v0.2-Q5_K_M.gguf) | Q5_K_M | 24.322 GB | large, very low quality loss - recommended |
|
88 |
+
| [nontoxic-bagel-34b-v0.2-Q6_K.gguf](https://huggingface.co/tensorblock/nontoxic-bagel-34b-v0.2-GGUF/blob/main/nontoxic-bagel-34b-v0.2-Q6_K.gguf) | Q6_K | 28.214 GB | very large, extremely low quality loss |
|
89 |
+
| [nontoxic-bagel-34b-v0.2-Q8_0.gguf](https://huggingface.co/tensorblock/nontoxic-bagel-34b-v0.2-GGUF/blob/main/nontoxic-bagel-34b-v0.2-Q8_0.gguf) | Q8_0 | 36.542 GB | very large, extremely low quality loss - not recommended |
|
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+
|
91 |
+
|
92 |
+
## Downloading instruction
|
93 |
+
|
94 |
+
### Command line
|
95 |
+
|
96 |
+
Firstly, install Huggingface Client
|
97 |
+
|
98 |
+
```shell
|
99 |
+
pip install -U "huggingface_hub[cli]"
|
100 |
+
```
|
101 |
+
|
102 |
+
Then, downoad the individual model file the a local directory
|
103 |
+
|
104 |
+
```shell
|
105 |
+
huggingface-cli download tensorblock/nontoxic-bagel-34b-v0.2-GGUF --include "nontoxic-bagel-34b-v0.2-Q2_K.gguf" --local-dir MY_LOCAL_DIR
|
106 |
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```
|
107 |
+
|
108 |
+
If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:
|
109 |
+
|
110 |
+
```shell
|
111 |
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huggingface-cli download tensorblock/nontoxic-bagel-34b-v0.2-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
|
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```
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