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Browse files- .gitattributes +12 -0
- GPT-2-fine-tuned-mental-health-Q2_K.gguf +3 -0
- GPT-2-fine-tuned-mental-health-Q3_K_L.gguf +3 -0
- GPT-2-fine-tuned-mental-health-Q3_K_M.gguf +3 -0
- GPT-2-fine-tuned-mental-health-Q3_K_S.gguf +3 -0
- GPT-2-fine-tuned-mental-health-Q4_0.gguf +3 -0
- GPT-2-fine-tuned-mental-health-Q4_K_M.gguf +3 -0
- GPT-2-fine-tuned-mental-health-Q4_K_S.gguf +3 -0
- GPT-2-fine-tuned-mental-health-Q5_0.gguf +3 -0
- GPT-2-fine-tuned-mental-health-Q5_K_M.gguf +3 -0
- GPT-2-fine-tuned-mental-health-Q5_K_S.gguf +3 -0
- GPT-2-fine-tuned-mental-health-Q6_K.gguf +3 -0
- GPT-2-fine-tuned-mental-health-Q8_0.gguf +3 -0
- README.md +125 -0
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README.md
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---
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language: en
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license: apache-2.0
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tags:
|
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- text-generation
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- transformers
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- mental-health
|
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- gpt-2
|
9 |
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- conversational-ai
|
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- TensorBlock
|
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- GGUF
|
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datasets:
|
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- custom-dataset
|
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- kaggle
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metrics:
|
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- perplexity
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- BLEU
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- ROUGE
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base_model: TheCarBun/GPT-2-fine-tuned-mental-health
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---
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|
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<div style="width: auto; margin-left: auto; margin-right: auto">
|
23 |
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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>
|
25 |
+
<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;">
|
27 |
+
<p style="margin-top: 0.5em; margin-bottom: 0em;">
|
28 |
+
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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## TheCarBun/GPT-2-fine-tuned-mental-health - GGUF
|
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|
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This repo contains GGUF format model files for [TheCarBun/GPT-2-fine-tuned-mental-health](https://huggingface.co/TheCarBun/GPT-2-fine-tuned-mental-health).
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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 b5165](https://github.com/ggml-org/llama.cpp/commit/1d735c0b4fa0551c51c2f4ac888dd9a01f447985).
|
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+
|
39 |
+
## Our projects
|
40 |
+
<table border="1" cellspacing="0" cellpadding="10">
|
41 |
+
<tr>
|
42 |
+
<th style="font-size: 25px;">Awesome MCP Servers</th>
|
43 |
+
<th style="font-size: 25px;">TensorBlock Studio</th>
|
44 |
+
</tr>
|
45 |
+
<tr>
|
46 |
+
<th><img src="https://imgur.com/2Xov7B7.jpeg" alt="Project A" width="450"/></th>
|
47 |
+
<th><img src="https://imgur.com/pJcmF5u.jpeg" alt="Project B" width="450"/></th>
|
48 |
+
</tr>
|
49 |
+
<tr>
|
50 |
+
<th>A comprehensive collection of Model Context Protocol (MCP) servers.</th>
|
51 |
+
<th>A lightweight, open, and extensible multi-LLM interaction studio.</th>
|
52 |
+
</tr>
|
53 |
+
<tr>
|
54 |
+
<th>
|
55 |
+
<a href="https://github.com/TensorBlock/awesome-mcp-servers" target="_blank" style="
|
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+
display: inline-block;
|
57 |
+
padding: 8px 16px;
|
58 |
+
background-color: #FF7F50;
|
59 |
+
color: white;
|
60 |
+
text-decoration: none;
|
61 |
+
border-radius: 6px;
|
62 |
+
font-weight: bold;
|
63 |
+
font-family: sans-serif;
|
64 |
+
">π See what we built π</a>
|
65 |
+
</th>
|
66 |
+
<th>
|
67 |
+
<a href="https://github.com/TensorBlock/TensorBlock-Studio" target="_blank" style="
|
68 |
+
display: inline-block;
|
69 |
+
padding: 8px 16px;
|
70 |
+
background-color: #FF7F50;
|
71 |
+
color: white;
|
72 |
+
text-decoration: none;
|
73 |
+
border-radius: 6px;
|
74 |
+
font-weight: bold;
|
75 |
+
font-family: sans-serif;
|
76 |
+
">π See what we built π</a>
|
77 |
+
</th>
|
78 |
+
</tr>
|
79 |
+
</table>
|
80 |
+
|
81 |
+
## Prompt template
|
82 |
+
|
83 |
+
```
|
84 |
+
Unable to determine prompt format automatically. Please check the original model repository for the correct prompt format.
|
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+
```
|
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+
|
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+
## Model file specification
|
88 |
+
|
89 |
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| Filename | Quant type | File Size | Description |
|
90 |
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| -------- | ---------- | --------- | ----------- |
|
91 |
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| [GPT-2-fine-tuned-mental-health-Q2_K.gguf](https://huggingface.co/tensorblock/TheCarBun_GPT-2-fine-tuned-mental-health-GGUF/blob/main/GPT-2-fine-tuned-mental-health-Q2_K.gguf) | Q2_K | 0.069 GB | smallest, significant quality loss - not recommended for most purposes |
|
92 |
+
| [GPT-2-fine-tuned-mental-health-Q3_K_S.gguf](https://huggingface.co/tensorblock/TheCarBun_GPT-2-fine-tuned-mental-health-GGUF/blob/main/GPT-2-fine-tuned-mental-health-Q3_K_S.gguf) | Q3_K_S | 0.074 GB | very small, high quality loss |
|
93 |
+
| [GPT-2-fine-tuned-mental-health-Q3_K_M.gguf](https://huggingface.co/tensorblock/TheCarBun_GPT-2-fine-tuned-mental-health-GGUF/blob/main/GPT-2-fine-tuned-mental-health-Q3_K_M.gguf) | Q3_K_M | 0.081 GB | very small, high quality loss |
|
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+
| [GPT-2-fine-tuned-mental-health-Q3_K_L.gguf](https://huggingface.co/tensorblock/TheCarBun_GPT-2-fine-tuned-mental-health-GGUF/blob/main/GPT-2-fine-tuned-mental-health-Q3_K_L.gguf) | Q3_K_L | 0.086 GB | small, substantial quality loss |
|
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+
| [GPT-2-fine-tuned-mental-health-Q4_0.gguf](https://huggingface.co/tensorblock/TheCarBun_GPT-2-fine-tuned-mental-health-GGUF/blob/main/GPT-2-fine-tuned-mental-health-Q4_0.gguf) | Q4_0 | 0.085 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
|
96 |
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| [GPT-2-fine-tuned-mental-health-Q4_K_S.gguf](https://huggingface.co/tensorblock/TheCarBun_GPT-2-fine-tuned-mental-health-GGUF/blob/main/GPT-2-fine-tuned-mental-health-Q4_K_S.gguf) | Q4_K_S | 0.085 GB | small, greater quality loss |
|
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+
| [GPT-2-fine-tuned-mental-health-Q4_K_M.gguf](https://huggingface.co/tensorblock/TheCarBun_GPT-2-fine-tuned-mental-health-GGUF/blob/main/GPT-2-fine-tuned-mental-health-Q4_K_M.gguf) | Q4_K_M | 0.091 GB | medium, balanced quality - recommended |
|
98 |
+
| [GPT-2-fine-tuned-mental-health-Q5_0.gguf](https://huggingface.co/tensorblock/TheCarBun_GPT-2-fine-tuned-mental-health-GGUF/blob/main/GPT-2-fine-tuned-mental-health-Q5_0.gguf) | Q5_0 | 0.095 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
|
99 |
+
| [GPT-2-fine-tuned-mental-health-Q5_K_S.gguf](https://huggingface.co/tensorblock/TheCarBun_GPT-2-fine-tuned-mental-health-GGUF/blob/main/GPT-2-fine-tuned-mental-health-Q5_K_S.gguf) | Q5_K_S | 0.095 GB | large, low quality loss - recommended |
|
100 |
+
| [GPT-2-fine-tuned-mental-health-Q5_K_M.gguf](https://huggingface.co/tensorblock/TheCarBun_GPT-2-fine-tuned-mental-health-GGUF/blob/main/GPT-2-fine-tuned-mental-health-Q5_K_M.gguf) | Q5_K_M | 0.100 GB | large, very low quality loss - recommended |
|
101 |
+
| [GPT-2-fine-tuned-mental-health-Q6_K.gguf](https://huggingface.co/tensorblock/TheCarBun_GPT-2-fine-tuned-mental-health-GGUF/blob/main/GPT-2-fine-tuned-mental-health-Q6_K.gguf) | Q6_K | 0.107 GB | very large, extremely low quality loss |
|
102 |
+
| [GPT-2-fine-tuned-mental-health-Q8_0.gguf](https://huggingface.co/tensorblock/TheCarBun_GPT-2-fine-tuned-mental-health-GGUF/blob/main/GPT-2-fine-tuned-mental-health-Q8_0.gguf) | Q8_0 | 0.137 GB | very large, extremely low quality loss - not recommended |
|
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+
|
104 |
+
|
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## Downloading instruction
|
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|
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### Command line
|
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|
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Firstly, install Huggingface Client
|
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|
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```shell
|
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pip install -U "huggingface_hub[cli]"
|
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```
|
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|
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Then, downoad the individual model file the a local directory
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|
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```shell
|
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huggingface-cli download tensorblock/TheCarBun_GPT-2-fine-tuned-mental-health-GGUF --include "GPT-2-fine-tuned-mental-health-Q2_K.gguf" --local-dir MY_LOCAL_DIR
|
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+
```
|
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|
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If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:
|
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|
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```shell
|
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huggingface-cli download tensorblock/TheCarBun_GPT-2-fine-tuned-mental-health-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
|
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```
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