Upload folder using huggingface_hub
Browse files- .gitattributes +12 -0
- README.md +93 -0
- karakuri-lm-8x7b-instruct-v0.1-Q2_K.gguf +3 -0
- karakuri-lm-8x7b-instruct-v0.1-Q3_K_L.gguf +3 -0
- karakuri-lm-8x7b-instruct-v0.1-Q3_K_M.gguf +3 -0
- karakuri-lm-8x7b-instruct-v0.1-Q3_K_S.gguf +3 -0
- karakuri-lm-8x7b-instruct-v0.1-Q4_0.gguf +3 -0
- karakuri-lm-8x7b-instruct-v0.1-Q4_K_M.gguf +3 -0
- karakuri-lm-8x7b-instruct-v0.1-Q4_K_S.gguf +3 -0
- karakuri-lm-8x7b-instruct-v0.1-Q5_0.gguf +3 -0
- karakuri-lm-8x7b-instruct-v0.1-Q5_K_M.gguf +3 -0
- karakuri-lm-8x7b-instruct-v0.1-Q5_K_S.gguf +3 -0
- karakuri-lm-8x7b-instruct-v0.1-Q6_K.gguf +3 -0
- karakuri-lm-8x7b-instruct-v0.1-Q8_0.gguf +3 -0
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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karakuri-lm-8x7b-instruct-v0.1-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
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karakuri-lm-8x7b-instruct-v0.1-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
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karakuri-lm-8x7b-instruct-v0.1-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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karakuri-lm-8x7b-instruct-v0.1-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
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karakuri-lm-8x7b-instruct-v0.1-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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karakuri-lm-8x7b-instruct-v0.1-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
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README.md
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1 |
+
---
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2 |
+
library_name: transformers
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+
license: apache-2.0
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+
datasets:
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+
- databricks/databricks-dolly-15k
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6 |
+
- glaiveai/glaive-code-assistant-v3
|
7 |
+
- glaiveai/glaive-function-calling-v2
|
8 |
+
- gretelai/synthetic_text_to_sql
|
9 |
+
- meta-math/MetaMathQA
|
10 |
+
- microsoft/orca-math-word-problems-200k
|
11 |
+
- neural-bridge/rag-dataset-12000
|
12 |
+
- neural-bridge/rag-hallucination-dataset-1000
|
13 |
+
- nvidia/HelpSteer
|
14 |
+
- OpenAssistant/oasst2
|
15 |
+
language:
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16 |
+
- en
|
17 |
+
- ja
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+
tags:
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+
- mixtral
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- steerlm
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- TensorBlock
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- GGUF
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base_model: karakuri-ai/karakuri-lm-8x7b-instruct-v0.1
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---
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25 |
+
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+
<div style="width: auto; margin-left: auto; margin-right: auto">
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27 |
+
<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%;">
|
30 |
+
<div style="display: flex; flex-direction: column; align-items: flex-start;">
|
31 |
+
<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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## karakuri-ai/karakuri-lm-8x7b-instruct-v0.1 - GGUF
|
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|
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This repo contains GGUF format model files for [karakuri-ai/karakuri-lm-8x7b-instruct-v0.1](https://huggingface.co/karakuri-ai/karakuri-lm-8x7b-instruct-v0.1).
|
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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>
|
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+
|
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+
## Prompt template
|
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+
|
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+
```
|
52 |
+
<s><|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>{system_prompt}<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|USER_TOKEN|>{prompt}<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|><attributes>helpfulness: 4 correctness: 4 coherence: 4 complexity: 4 verbosity: 4 quality: 4 toxicity: 0 humor: 0 creativity: 0</attributes>
|
53 |
+
```
|
54 |
+
|
55 |
+
## Model file specification
|
56 |
+
|
57 |
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| Filename | Quant type | File Size | Description |
|
58 |
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| -------- | ---------- | --------- | ----------- |
|
59 |
+
| [karakuri-lm-8x7b-instruct-v0.1-Q2_K.gguf](https://huggingface.co/tensorblock/karakuri-lm-8x7b-instruct-v0.1-GGUF/blob/main/karakuri-lm-8x7b-instruct-v0.1-Q2_K.gguf) | Q2_K | 17.312 GB | smallest, significant quality loss - not recommended for most purposes |
|
60 |
+
| [karakuri-lm-8x7b-instruct-v0.1-Q3_K_S.gguf](https://huggingface.co/tensorblock/karakuri-lm-8x7b-instruct-v0.1-GGUF/blob/main/karakuri-lm-8x7b-instruct-v0.1-Q3_K_S.gguf) | Q3_K_S | 20.433 GB | very small, high quality loss |
|
61 |
+
| [karakuri-lm-8x7b-instruct-v0.1-Q3_K_M.gguf](https://huggingface.co/tensorblock/karakuri-lm-8x7b-instruct-v0.1-GGUF/blob/main/karakuri-lm-8x7b-instruct-v0.1-Q3_K_M.gguf) | Q3_K_M | 22.547 GB | very small, high quality loss |
|
62 |
+
| [karakuri-lm-8x7b-instruct-v0.1-Q3_K_L.gguf](https://huggingface.co/tensorblock/karakuri-lm-8x7b-instruct-v0.1-GGUF/blob/main/karakuri-lm-8x7b-instruct-v0.1-Q3_K_L.gguf) | Q3_K_L | 24.170 GB | small, substantial quality loss |
|
63 |
+
| [karakuri-lm-8x7b-instruct-v0.1-Q4_0.gguf](https://huggingface.co/tensorblock/karakuri-lm-8x7b-instruct-v0.1-GGUF/blob/main/karakuri-lm-8x7b-instruct-v0.1-Q4_0.gguf) | Q4_0 | 26.444 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
|
64 |
+
| [karakuri-lm-8x7b-instruct-v0.1-Q4_K_S.gguf](https://huggingface.co/tensorblock/karakuri-lm-8x7b-instruct-v0.1-GGUF/blob/main/karakuri-lm-8x7b-instruct-v0.1-Q4_K_S.gguf) | Q4_K_S | 26.746 GB | small, greater quality loss |
|
65 |
+
| [karakuri-lm-8x7b-instruct-v0.1-Q4_K_M.gguf](https://huggingface.co/tensorblock/karakuri-lm-8x7b-instruct-v0.1-GGUF/blob/main/karakuri-lm-8x7b-instruct-v0.1-Q4_K_M.gguf) | Q4_K_M | 28.449 GB | medium, balanced quality - recommended |
|
66 |
+
| [karakuri-lm-8x7b-instruct-v0.1-Q5_0.gguf](https://huggingface.co/tensorblock/karakuri-lm-8x7b-instruct-v0.1-GGUF/blob/main/karakuri-lm-8x7b-instruct-v0.1-Q5_0.gguf) | Q5_0 | 32.232 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
|
67 |
+
| [karakuri-lm-8x7b-instruct-v0.1-Q5_K_S.gguf](https://huggingface.co/tensorblock/karakuri-lm-8x7b-instruct-v0.1-GGUF/blob/main/karakuri-lm-8x7b-instruct-v0.1-Q5_K_S.gguf) | Q5_K_S | 32.232 GB | large, low quality loss - recommended |
|
68 |
+
| [karakuri-lm-8x7b-instruct-v0.1-Q5_K_M.gguf](https://huggingface.co/tensorblock/karakuri-lm-8x7b-instruct-v0.1-GGUF/blob/main/karakuri-lm-8x7b-instruct-v0.1-Q5_K_M.gguf) | Q5_K_M | 33.230 GB | large, very low quality loss - recommended |
|
69 |
+
| [karakuri-lm-8x7b-instruct-v0.1-Q6_K.gguf](https://huggingface.co/tensorblock/karakuri-lm-8x7b-instruct-v0.1-GGUF/blob/main/karakuri-lm-8x7b-instruct-v0.1-Q6_K.gguf) | Q6_K | 38.382 GB | very large, extremely low quality loss |
|
70 |
+
| [karakuri-lm-8x7b-instruct-v0.1-Q8_0.gguf](https://huggingface.co/tensorblock/karakuri-lm-8x7b-instruct-v0.1-GGUF/blob/main/karakuri-lm-8x7b-instruct-v0.1-Q8_0.gguf) | Q8_0 | 49.627 GB | very large, extremely low quality loss - not recommended |
|
71 |
+
|
72 |
+
|
73 |
+
## Downloading instruction
|
74 |
+
|
75 |
+
### Command line
|
76 |
+
|
77 |
+
Firstly, install Huggingface Client
|
78 |
+
|
79 |
+
```shell
|
80 |
+
pip install -U "huggingface_hub[cli]"
|
81 |
+
```
|
82 |
+
|
83 |
+
Then, downoad the individual model file the a local directory
|
84 |
+
|
85 |
+
```shell
|
86 |
+
huggingface-cli download tensorblock/karakuri-lm-8x7b-instruct-v0.1-GGUF --include "karakuri-lm-8x7b-instruct-v0.1-Q2_K.gguf" --local-dir MY_LOCAL_DIR
|
87 |
+
```
|
88 |
+
|
89 |
+
If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:
|
90 |
+
|
91 |
+
```shell
|
92 |
+
huggingface-cli download tensorblock/karakuri-lm-8x7b-instruct-v0.1-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
|
93 |
+
```
|
karakuri-lm-8x7b-instruct-v0.1-Q2_K.gguf
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