Upload folder using huggingface_hub
Browse files- .gitattributes +12 -0
- README.md +101 -0
- Yi-34B-Q2_K.gguf +3 -0
- Yi-34B-Q3_K_L.gguf +3 -0
- Yi-34B-Q3_K_M.gguf +3 -0
- Yi-34B-Q3_K_S.gguf +3 -0
- Yi-34B-Q4_0.gguf +3 -0
- Yi-34B-Q4_K_M.gguf +3 -0
- Yi-34B-Q4_K_S.gguf +3 -0
- Yi-34B-Q5_0.gguf +3 -0
- Yi-34B-Q5_K_M.gguf +3 -0
- Yi-34B-Q5_K_S.gguf +3 -0
- Yi-34B-Q6_K.gguf +3 -0
- Yi-34B-Q8_0.gguf +3 -0
.gitattributes
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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Yi-34B-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
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Yi-34B-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
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Yi-34B-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
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README.md
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| 1 |
+
---
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+
license: apache-2.0
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widget:
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| 4 |
+
- example_title: Yi-34B-Chat
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text: hi
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output:
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text: ' Hello! How can I assist you today?'
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- example_title: Yi-34B
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text: There's a place where time stands still. A place of breath taking wonder,
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but also
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output:
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text: ' an eerie sense that something is just not right…
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Between the two worlds lies The Forgotten Kingdom - home to creatures long since
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thought extinct and ancient magic so strong it defies belief! Only here can
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you find what has been lost for centuries: An Elixir Of Life which will restore
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youth and vitality if only those who seek its power are brave enough to face
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up against all manner of dangers lurking in this mysterious land! But beware;
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some say there may even exist powerful entities beyond our comprehension whose
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intentions towards humanity remain unclear at best ---- they might want nothing
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more than destruction itself rather then anything else from their quest after
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immortality (and maybe someone should tell them about modern medicine)? In any
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event though – one thing remains true regardless : whether or not success comes
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easy depends entirely upon how much effort we put into conquering whatever challenges
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lie ahead along with having faith deep down inside ourselves too ;) So let’s
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+
get started now shall We?'
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pipeline_tag: text-generation
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| 28 |
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base_model: 01-ai/Yi-34B
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| 29 |
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tags:
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| 30 |
+
- TensorBlock
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| 31 |
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- GGUF
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| 32 |
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---
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| 33 |
+
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| 34 |
+
<div style="width: auto; margin-left: auto; margin-right: auto">
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| 35 |
+
<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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| 36 |
+
</div>
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| 37 |
+
<div style="display: flex; justify-content: space-between; width: 100%;">
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| 38 |
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<div style="display: flex; flex-direction: column; align-items: flex-start;">
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| 39 |
+
<p style="margin-top: 0.5em; margin-bottom: 0em;">
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| 40 |
+
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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| 41 |
+
</p>
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| 42 |
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</div>
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| 43 |
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</div>
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| 44 |
+
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## 01-ai/Yi-34B - GGUF
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| 46 |
+
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This repo contains GGUF format model files for [01-ai/Yi-34B](https://huggingface.co/01-ai/Yi-34B).
|
| 48 |
+
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| 49 |
+
The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4011](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).
|
| 50 |
+
|
| 51 |
+
<div style="text-align: left; margin: 20px 0;">
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| 52 |
+
<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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| 53 |
+
Run them on the TensorBlock client using your local machine ↗
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| 54 |
+
</a>
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| 55 |
+
</div>
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| 56 |
+
|
| 57 |
+
## Prompt template
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| 58 |
+
|
| 59 |
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```
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| 60 |
+
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| 61 |
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```
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| 62 |
+
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| 63 |
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## Model file specification
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| 64 |
+
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| 65 |
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| Filename | Quant type | File Size | Description |
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| 66 |
+
| -------- | ---------- | --------- | ----------- |
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| 67 |
+
| [Yi-34B-Q2_K.gguf](https://huggingface.co/tensorblock/Yi-34B-GGUF/blob/main/Yi-34B-Q2_K.gguf) | Q2_K | 12.825 GB | smallest, significant quality loss - not recommended for most purposes |
|
| 68 |
+
| [Yi-34B-Q3_K_S.gguf](https://huggingface.co/tensorblock/Yi-34B-GGUF/blob/main/Yi-34B-Q3_K_S.gguf) | Q3_K_S | 14.960 GB | very small, high quality loss |
|
| 69 |
+
| [Yi-34B-Q3_K_M.gguf](https://huggingface.co/tensorblock/Yi-34B-GGUF/blob/main/Yi-34B-Q3_K_M.gguf) | Q3_K_M | 16.655 GB | very small, high quality loss |
|
| 70 |
+
| [Yi-34B-Q3_K_L.gguf](https://huggingface.co/tensorblock/Yi-34B-GGUF/blob/main/Yi-34B-Q3_K_L.gguf) | Q3_K_L | 18.139 GB | small, substantial quality loss |
|
| 71 |
+
| [Yi-34B-Q4_0.gguf](https://huggingface.co/tensorblock/Yi-34B-GGUF/blob/main/Yi-34B-Q4_0.gguf) | Q4_0 | 19.467 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
|
| 72 |
+
| [Yi-34B-Q4_K_S.gguf](https://huggingface.co/tensorblock/Yi-34B-GGUF/blob/main/Yi-34B-Q4_K_S.gguf) | Q4_K_S | 19.599 GB | small, greater quality loss |
|
| 73 |
+
| [Yi-34B-Q4_K_M.gguf](https://huggingface.co/tensorblock/Yi-34B-GGUF/blob/main/Yi-34B-Q4_K_M.gguf) | Q4_K_M | 20.659 GB | medium, balanced quality - recommended |
|
| 74 |
+
| [Yi-34B-Q5_0.gguf](https://huggingface.co/tensorblock/Yi-34B-GGUF/blob/main/Yi-34B-Q5_0.gguf) | Q5_0 | 23.708 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
|
| 75 |
+
| [Yi-34B-Q5_K_S.gguf](https://huggingface.co/tensorblock/Yi-34B-GGUF/blob/main/Yi-34B-Q5_K_S.gguf) | Q5_K_S | 23.708 GB | large, low quality loss - recommended |
|
| 76 |
+
| [Yi-34B-Q5_K_M.gguf](https://huggingface.co/tensorblock/Yi-34B-GGUF/blob/main/Yi-34B-Q5_K_M.gguf) | Q5_K_M | 24.322 GB | large, very low quality loss - recommended |
|
| 77 |
+
| [Yi-34B-Q6_K.gguf](https://huggingface.co/tensorblock/Yi-34B-GGUF/blob/main/Yi-34B-Q6_K.gguf) | Q6_K | 28.214 GB | very large, extremely low quality loss |
|
| 78 |
+
| [Yi-34B-Q8_0.gguf](https://huggingface.co/tensorblock/Yi-34B-GGUF/blob/main/Yi-34B-Q8_0.gguf) | Q8_0 | 36.542 GB | very large, extremely low quality loss - not recommended |
|
| 79 |
+
|
| 80 |
+
|
| 81 |
+
## Downloading instruction
|
| 82 |
+
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| 83 |
+
### Command line
|
| 84 |
+
|
| 85 |
+
Firstly, install Huggingface Client
|
| 86 |
+
|
| 87 |
+
```shell
|
| 88 |
+
pip install -U "huggingface_hub[cli]"
|
| 89 |
+
```
|
| 90 |
+
|
| 91 |
+
Then, downoad the individual model file the a local directory
|
| 92 |
+
|
| 93 |
+
```shell
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| 94 |
+
huggingface-cli download tensorblock/Yi-34B-GGUF --include "Yi-34B-Q2_K.gguf" --local-dir MY_LOCAL_DIR
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| 95 |
+
```
|
| 96 |
+
|
| 97 |
+
If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:
|
| 98 |
+
|
| 99 |
+
```shell
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| 100 |
+
huggingface-cli download tensorblock/Yi-34B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
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| 101 |
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```
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