Upload folder using huggingface_hub
Browse files- .gitattributes +12 -0
- README.md +170 -0
- TinyMistral-248M-Chat-v2-Q2_K.gguf +3 -0
- TinyMistral-248M-Chat-v2-Q3_K_L.gguf +3 -0
- TinyMistral-248M-Chat-v2-Q3_K_M.gguf +3 -0
- TinyMistral-248M-Chat-v2-Q3_K_S.gguf +3 -0
- TinyMistral-248M-Chat-v2-Q4_0.gguf +3 -0
- TinyMistral-248M-Chat-v2-Q4_K_M.gguf +3 -0
- TinyMistral-248M-Chat-v2-Q4_K_S.gguf +3 -0
- TinyMistral-248M-Chat-v2-Q5_0.gguf +3 -0
- TinyMistral-248M-Chat-v2-Q5_K_M.gguf +3 -0
- TinyMistral-248M-Chat-v2-Q5_K_S.gguf +3 -0
- TinyMistral-248M-Chat-v2-Q6_K.gguf +3 -0
- TinyMistral-248M-Chat-v2-Q8_0.gguf +3 -0
.gitattributes
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README.md
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1 |
+
---
|
2 |
+
language:
|
3 |
+
- en
|
4 |
+
license: apache-2.0
|
5 |
+
base_model: Felladrin/TinyMistral-248M-Chat-v2
|
6 |
+
datasets:
|
7 |
+
- HuggingFaceH4/ultrachat_200k
|
8 |
+
- Felladrin/ChatML-ultrachat_200k
|
9 |
+
- Open-Orca/OpenOrca
|
10 |
+
- Felladrin/ChatML-OpenOrca
|
11 |
+
- hkust-nlp/deita-10k-v0
|
12 |
+
- Felladrin/ChatML-deita-10k-v0
|
13 |
+
- LDJnr/Capybara
|
14 |
+
- Felladrin/ChatML-Capybara
|
15 |
+
- databricks/databricks-dolly-15k
|
16 |
+
- Felladrin/ChatML-databricks-dolly-15k
|
17 |
+
- euclaise/reddit-instruct-curated
|
18 |
+
- Felladrin/ChatML-reddit-instruct-curated
|
19 |
+
- CohereForAI/aya_dataset
|
20 |
+
- Felladrin/ChatML-aya_dataset
|
21 |
+
- HuggingFaceH4/ultrafeedback_binarized
|
22 |
+
pipeline_tag: text-generation
|
23 |
+
widget:
|
24 |
+
- messages:
|
25 |
+
- role: system
|
26 |
+
content: You are a highly knowledgeable and friendly assistant. Your goal is to
|
27 |
+
understand and respond to user inquiries with clarity. Your interactions are
|
28 |
+
always respectful, helpful, and focused on delivering the most accurate information
|
29 |
+
to the user.
|
30 |
+
- role: user
|
31 |
+
content: Hey! Got a question for you!
|
32 |
+
- role: assistant
|
33 |
+
content: Sure! What's it?
|
34 |
+
- role: user
|
35 |
+
content: What are some potential applications for quantum computing?
|
36 |
+
- messages:
|
37 |
+
- role: user
|
38 |
+
content: Heya!
|
39 |
+
- role: assistant
|
40 |
+
content: Hi! How may I help you?
|
41 |
+
- role: user
|
42 |
+
content: I'm interested in developing a career in software engineering. What would
|
43 |
+
you recommend me to do?
|
44 |
+
- messages:
|
45 |
+
- role: user
|
46 |
+
content: Morning!
|
47 |
+
- role: assistant
|
48 |
+
content: Good morning! How can I help you today?
|
49 |
+
- role: user
|
50 |
+
content: Could you give me some tips for becoming a healthier person?
|
51 |
+
- messages:
|
52 |
+
- role: system
|
53 |
+
content: You are a very creative assistant. User will give you a task, which you
|
54 |
+
should complete with all your knowledge.
|
55 |
+
- role: user
|
56 |
+
content: Hello! Can you please elaborate a background story of an RPG game about
|
57 |
+
wizards and dragons in a sci-fi world?
|
58 |
+
tags:
|
59 |
+
- TensorBlock
|
60 |
+
- GGUF
|
61 |
+
---
|
62 |
+
|
63 |
+
<div style="width: auto; margin-left: auto; margin-right: auto">
|
64 |
+
<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
|
65 |
+
</div>
|
66 |
+
<div style="display: flex; justify-content: space-between; width: 100%;">
|
67 |
+
<div style="display: flex; flex-direction: column; align-items: flex-start;">
|
68 |
+
<p style="margin-top: 0.5em; margin-bottom: 0em;">
|
69 |
+
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>
|
70 |
+
</p>
|
71 |
+
</div>
|
72 |
+
</div>
|
73 |
+
|
74 |
+
## Felladrin/TinyMistral-248M-Chat-v2 - GGUF
|
75 |
+
|
76 |
+
This repo contains GGUF format model files for [Felladrin/TinyMistral-248M-Chat-v2](https://huggingface.co/Felladrin/TinyMistral-248M-Chat-v2).
|
77 |
+
|
78 |
+
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).
|
79 |
+
|
80 |
+
## Our projects
|
81 |
+
<table border="1" cellspacing="0" cellpadding="10">
|
82 |
+
<tr>
|
83 |
+
<th style="font-size: 25px;">Awesome MCP Servers</th>
|
84 |
+
<th style="font-size: 25px;">TensorBlock Studio</th>
|
85 |
+
</tr>
|
86 |
+
<tr>
|
87 |
+
<th><img src="https://imgur.com/2Xov7B7.jpeg" alt="Project A" width="450"/></th>
|
88 |
+
<th><img src="https://imgur.com/pJcmF5u.jpeg" alt="Project B" width="450"/></th>
|
89 |
+
</tr>
|
90 |
+
<tr>
|
91 |
+
<th>A comprehensive collection of Model Context Protocol (MCP) servers.</th>
|
92 |
+
<th>A lightweight, open, and extensible multi-LLM interaction studio.</th>
|
93 |
+
</tr>
|
94 |
+
<tr>
|
95 |
+
<th>
|
96 |
+
<a href="https://github.com/TensorBlock/awesome-mcp-servers" target="_blank" style="
|
97 |
+
display: inline-block;
|
98 |
+
padding: 8px 16px;
|
99 |
+
background-color: #FF7F50;
|
100 |
+
color: white;
|
101 |
+
text-decoration: none;
|
102 |
+
border-radius: 6px;
|
103 |
+
font-weight: bold;
|
104 |
+
font-family: sans-serif;
|
105 |
+
">👀 See what we built 👀</a>
|
106 |
+
</th>
|
107 |
+
<th>
|
108 |
+
<a href="https://github.com/TensorBlock/TensorBlock-Studio" target="_blank" style="
|
109 |
+
display: inline-block;
|
110 |
+
padding: 8px 16px;
|
111 |
+
background-color: #FF7F50;
|
112 |
+
color: white;
|
113 |
+
text-decoration: none;
|
114 |
+
border-radius: 6px;
|
115 |
+
font-weight: bold;
|
116 |
+
font-family: sans-serif;
|
117 |
+
">👀 See what we built 👀</a>
|
118 |
+
</th>
|
119 |
+
</tr>
|
120 |
+
</table>
|
121 |
+
|
122 |
+
## Prompt template
|
123 |
+
|
124 |
+
```
|
125 |
+
<|im_start|>system
|
126 |
+
{system_prompt}<|im_end|>
|
127 |
+
<|im_start|>user
|
128 |
+
{prompt}<|im_end|>
|
129 |
+
<|im_start|>assistant
|
130 |
+
```
|
131 |
+
|
132 |
+
## Model file specification
|
133 |
+
|
134 |
+
| Filename | Quant type | File Size | Description |
|
135 |
+
| -------- | ---------- | --------- | ----------- |
|
136 |
+
| [TinyMistral-248M-Chat-v2-Q2_K.gguf](https://huggingface.co/tensorblock/Felladrin_TinyMistral-248M-Chat-v2-GGUF/blob/main/TinyMistral-248M-Chat-v2-Q2_K.gguf) | Q2_K | 0.105 GB | smallest, significant quality loss - not recommended for most purposes |
|
137 |
+
| [TinyMistral-248M-Chat-v2-Q3_K_S.gguf](https://huggingface.co/tensorblock/Felladrin_TinyMistral-248M-Chat-v2-GGUF/blob/main/TinyMistral-248M-Chat-v2-Q3_K_S.gguf) | Q3_K_S | 0.120 GB | very small, high quality loss |
|
138 |
+
| [TinyMistral-248M-Chat-v2-Q3_K_M.gguf](https://huggingface.co/tensorblock/Felladrin_TinyMistral-248M-Chat-v2-GGUF/blob/main/TinyMistral-248M-Chat-v2-Q3_K_M.gguf) | Q3_K_M | 0.129 GB | very small, high quality loss |
|
139 |
+
| [TinyMistral-248M-Chat-v2-Q3_K_L.gguf](https://huggingface.co/tensorblock/Felladrin_TinyMistral-248M-Chat-v2-GGUF/blob/main/TinyMistral-248M-Chat-v2-Q3_K_L.gguf) | Q3_K_L | 0.137 GB | small, substantial quality loss |
|
140 |
+
| [TinyMistral-248M-Chat-v2-Q4_0.gguf](https://huggingface.co/tensorblock/Felladrin_TinyMistral-248M-Chat-v2-GGUF/blob/main/TinyMistral-248M-Chat-v2-Q4_0.gguf) | Q4_0 | 0.149 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
|
141 |
+
| [TinyMistral-248M-Chat-v2-Q4_K_S.gguf](https://huggingface.co/tensorblock/Felladrin_TinyMistral-248M-Chat-v2-GGUF/blob/main/TinyMistral-248M-Chat-v2-Q4_K_S.gguf) | Q4_K_S | 0.149 GB | small, greater quality loss |
|
142 |
+
| [TinyMistral-248M-Chat-v2-Q4_K_M.gguf](https://huggingface.co/tensorblock/Felladrin_TinyMistral-248M-Chat-v2-GGUF/blob/main/TinyMistral-248M-Chat-v2-Q4_K_M.gguf) | Q4_K_M | 0.156 GB | medium, balanced quality - recommended |
|
143 |
+
| [TinyMistral-248M-Chat-v2-Q5_0.gguf](https://huggingface.co/tensorblock/Felladrin_TinyMistral-248M-Chat-v2-GGUF/blob/main/TinyMistral-248M-Chat-v2-Q5_0.gguf) | Q5_0 | 0.176 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
|
144 |
+
| [TinyMistral-248M-Chat-v2-Q5_K_S.gguf](https://huggingface.co/tensorblock/Felladrin_TinyMistral-248M-Chat-v2-GGUF/blob/main/TinyMistral-248M-Chat-v2-Q5_K_S.gguf) | Q5_K_S | 0.176 GB | large, low quality loss - recommended |
|
145 |
+
| [TinyMistral-248M-Chat-v2-Q5_K_M.gguf](https://huggingface.co/tensorblock/Felladrin_TinyMistral-248M-Chat-v2-GGUF/blob/main/TinyMistral-248M-Chat-v2-Q5_K_M.gguf) | Q5_K_M | 0.179 GB | large, very low quality loss - recommended |
|
146 |
+
| [TinyMistral-248M-Chat-v2-Q6_K.gguf](https://huggingface.co/tensorblock/Felladrin_TinyMistral-248M-Chat-v2-GGUF/blob/main/TinyMistral-248M-Chat-v2-Q6_K.gguf) | Q6_K | 0.204 GB | very large, extremely low quality loss |
|
147 |
+
| [TinyMistral-248M-Chat-v2-Q8_0.gguf](https://huggingface.co/tensorblock/Felladrin_TinyMistral-248M-Chat-v2-GGUF/blob/main/TinyMistral-248M-Chat-v2-Q8_0.gguf) | Q8_0 | 0.264 GB | very large, extremely low quality loss - not recommended |
|
148 |
+
|
149 |
+
|
150 |
+
## Downloading instruction
|
151 |
+
|
152 |
+
### Command line
|
153 |
+
|
154 |
+
Firstly, install Huggingface Client
|
155 |
+
|
156 |
+
```shell
|
157 |
+
pip install -U "huggingface_hub[cli]"
|
158 |
+
```
|
159 |
+
|
160 |
+
Then, downoad the individual model file the a local directory
|
161 |
+
|
162 |
+
```shell
|
163 |
+
huggingface-cli download tensorblock/Felladrin_TinyMistral-248M-Chat-v2-GGUF --include "TinyMistral-248M-Chat-v2-Q2_K.gguf" --local-dir MY_LOCAL_DIR
|
164 |
+
```
|
165 |
+
|
166 |
+
If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:
|
167 |
+
|
168 |
+
```shell
|
169 |
+
huggingface-cli download tensorblock/Felladrin_TinyMistral-248M-Chat-v2-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
|
170 |
+
```
|
TinyMistral-248M-Chat-v2-Q2_K.gguf
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