Hugging Face's logo

tensorblock
/
tiny_starcoder_py-GGUF

Text Generation
Transformers
GGUF
code
TensorBlock
GGUF
Eval Results (legacy)
Model card Files
xet
 Community
tiny_starcoder_py-GGUF
File size: 6,947 Bytes
4a00bac
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
8ed3070
 
 
 
 
 
 
4a00bac
 
 
 
 
 
 
8817471
67cd76e
 
 
e1153ed
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
67cd76e
 
 
 
 
e1153ed
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
67cd76e
4a00bac
 
8817471
4a00bac
 
 
 
 
 
 
 
8817471
 
 
 
 
 
 
 
 
 
 
 
4a00bac
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
---
pipeline_tag: text-generation
inference: true
widget:
- text: 'def print_hello_world():'
  example_title: Hello world
  group: Python
license: bigcode-openrail-m
datasets:
- bigcode/the-stack-dedup
metrics:
- code_eval
library_name: transformers
tags:
- code
- TensorBlock
- GGUF
base_model: bigcode/tiny_starcoder_py
model-index:
- name: Tiny-StarCoder-Py
  results:
  - task:
      type: text-generation
    dataset:
      name: HumanEval
      type: openai_humaneval
    metrics:
    - type: pass@1
      value: 7.84%
      name: pass@1
      verified: false
---

<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>

[![Website](https://img.shields.io/badge/Website-tensorblock.co-blue?logo=google-chrome&logoColor=white)](https://tensorblock.co)
[![Twitter](https://img.shields.io/twitter/follow/tensorblock_aoi?style=social)](https://twitter.com/tensorblock_aoi)
[![Discord](https://img.shields.io/badge/Discord-Join%20Us-5865F2?logo=discord&logoColor=white)](https://discord.gg/Ej5NmeHFf2)
[![GitHub](https://img.shields.io/badge/GitHub-TensorBlock-black?logo=github&logoColor=white)](https://github.com/TensorBlock)
[![Telegram](https://img.shields.io/badge/Telegram-Group-blue?logo=telegram)](https://t.me/TensorBlock)


## bigcode/tiny_starcoder_py - GGUF

This repo contains GGUF format model files for [bigcode/tiny_starcoder_py](https://huggingface.co/bigcode/tiny_starcoder_py).

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).


## Our projects
<table border="1" cellspacing="0" cellpadding="10">
  <tr>
    <th colspan="2" style="font-size: 25px;">Forge</th>
  </tr>
  <tr>
    <th colspan="2">
      <img src="https://imgur.com/faI5UKh.jpeg" alt="Forge Project" width="900"/>
    </th>
  </tr>
  <tr>
    <th colspan="2">An OpenAI-compatible multi-provider routing layer.</th>
  </tr>
  <tr>
    <th colspan="2">
      <a href="https://github.com/TensorBlock/forge" target="_blank" style="
        display: inline-block;
        padding: 8px 16px;
        background-color: #FF7F50;
        color: white;
        text-decoration: none;
        border-radius: 6px;
        font-weight: bold;
        font-family: sans-serif;
      ">🚀 Try it now! 🚀</a>
    </th>
  </tr>

  <tr>
    <th style="font-size: 25px;">Awesome MCP Servers</th>
    <th style="font-size: 25px;">TensorBlock Studio</th>
  </tr>
  <tr>
    <th><img src="https://imgur.com/2Xov7B7.jpeg" alt="MCP Servers" width="450"/></th>
    <th><img src="https://imgur.com/pJcmF5u.jpeg" alt="Studio" width="450"/></th>
  </tr>
  <tr>
    <th>A comprehensive collection of Model Context Protocol (MCP) servers.</th>
    <th>A lightweight, open, and extensible multi-LLM interaction studio.</th>
  </tr>
  <tr>
    <th>
      <a href="https://github.com/TensorBlock/awesome-mcp-servers" target="_blank" style="
        display: inline-block;
        padding: 8px 16px;
        background-color: #FF7F50;
        color: white;
        text-decoration: none;
        border-radius: 6px;
        font-weight: bold;
        font-family: sans-serif;
      ">👀 See what we built 👀</a>
    </th>
    <th>
      <a href="https://github.com/TensorBlock/TensorBlock-Studio" target="_blank" style="
        display: inline-block;
        padding: 8px 16px;
        background-color: #FF7F50;
        color: white;
        text-decoration: none;
        border-radius: 6px;
        font-weight: bold;
        font-family: sans-serif;
      ">👀 See what we built 👀</a>
    </th>
  </tr>
</table>
## Prompt template


```

```

## Model file specification

| Filename | Quant type | File Size | Description |
| -------- | ---------- | --------- | ----------- |
| [tiny_starcoder_py-Q2_K.gguf](https://huggingface.co/tensorblock/tiny_starcoder_py-GGUF/blob/main/tiny_starcoder_py-Q2_K.gguf) | Q2_K | 0.097 GB | smallest, significant quality loss - not recommended for most purposes |
| [tiny_starcoder_py-Q3_K_S.gguf](https://huggingface.co/tensorblock/tiny_starcoder_py-GGUF/blob/main/tiny_starcoder_py-Q3_K_S.gguf) | Q3_K_S | 0.103 GB | very small, high quality loss |
| [tiny_starcoder_py-Q3_K_M.gguf](https://huggingface.co/tensorblock/tiny_starcoder_py-GGUF/blob/main/tiny_starcoder_py-Q3_K_M.gguf) | Q3_K_M | 0.112 GB | very small, high quality loss |
| [tiny_starcoder_py-Q3_K_L.gguf](https://huggingface.co/tensorblock/tiny_starcoder_py-GGUF/blob/main/tiny_starcoder_py-Q3_K_L.gguf) | Q3_K_L | 0.118 GB | small, substantial quality loss |
| [tiny_starcoder_py-Q4_0.gguf](https://huggingface.co/tensorblock/tiny_starcoder_py-GGUF/blob/main/tiny_starcoder_py-Q4_0.gguf) | Q4_0 | 0.117 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| [tiny_starcoder_py-Q4_K_S.gguf](https://huggingface.co/tensorblock/tiny_starcoder_py-GGUF/blob/main/tiny_starcoder_py-Q4_K_S.gguf) | Q4_K_S | 0.118 GB | small, greater quality loss |
| [tiny_starcoder_py-Q4_K_M.gguf](https://huggingface.co/tensorblock/tiny_starcoder_py-GGUF/blob/main/tiny_starcoder_py-Q4_K_M.gguf) | Q4_K_M | 0.125 GB | medium, balanced quality - recommended |
| [tiny_starcoder_py-Q5_0.gguf](https://huggingface.co/tensorblock/tiny_starcoder_py-GGUF/blob/main/tiny_starcoder_py-Q5_0.gguf) | Q5_0 | 0.131 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| [tiny_starcoder_py-Q5_K_S.gguf](https://huggingface.co/tensorblock/tiny_starcoder_py-GGUF/blob/main/tiny_starcoder_py-Q5_K_S.gguf) | Q5_K_S | 0.131 GB | large, low quality loss - recommended |
| [tiny_starcoder_py-Q5_K_M.gguf](https://huggingface.co/tensorblock/tiny_starcoder_py-GGUF/blob/main/tiny_starcoder_py-Q5_K_M.gguf) | Q5_K_M | 0.136 GB | large, very low quality loss - recommended |
| [tiny_starcoder_py-Q6_K.gguf](https://huggingface.co/tensorblock/tiny_starcoder_py-GGUF/blob/main/tiny_starcoder_py-Q6_K.gguf) | Q6_K | 0.146 GB | very large, extremely low quality loss |
| [tiny_starcoder_py-Q8_0.gguf](https://huggingface.co/tensorblock/tiny_starcoder_py-GGUF/blob/main/tiny_starcoder_py-Q8_0.gguf) | Q8_0 | 0.182 GB | very large, extremely low quality loss - not recommended |


## Downloading instruction

### Command line

Firstly, install Huggingface Client

```shell
pip install -U "huggingface_hub[cli]"
```

Then, downoad the individual model file the a local directory

```shell
huggingface-cli download tensorblock/tiny_starcoder_py-GGUF --include "tiny_starcoder_py-Q2_K.gguf" --local-dir MY_LOCAL_DIR
```

If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:

```shell
huggingface-cli download tensorblock/tiny_starcoder_py-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
```