Upload folder using huggingface_hub
Browse files- .gitattributes +12 -0
- README.md +163 -0
- granite-20b-code-base-8k-Q2_K.gguf +3 -0
- granite-20b-code-base-8k-Q3_K_L.gguf +3 -0
- granite-20b-code-base-8k-Q3_K_M.gguf +3 -0
- granite-20b-code-base-8k-Q3_K_S.gguf +3 -0
- granite-20b-code-base-8k-Q4_0.gguf +3 -0
- granite-20b-code-base-8k-Q4_K_M.gguf +3 -0
- granite-20b-code-base-8k-Q4_K_S.gguf +3 -0
- granite-20b-code-base-8k-Q5_0.gguf +3 -0
- granite-20b-code-base-8k-Q5_K_M.gguf +3 -0
- granite-20b-code-base-8k-Q5_K_S.gguf +3 -0
- granite-20b-code-base-8k-Q6_K.gguf +3 -0
- granite-20b-code-base-8k-Q8_0.gguf +3 -0
.gitattributes
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granite-20b-code-base-8k-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
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README.md
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1 |
+
---
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2 |
+
pipeline_tag: text-generation
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+
inference: true
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4 |
+
license: apache-2.0
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+
datasets:
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- codeparrot/github-code-clean
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+
- bigcode/starcoderdata
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+
- open-web-math/open-web-math
|
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+
- math-ai/StackMathQA
|
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+
metrics:
|
11 |
+
- code_eval
|
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+
library_name: transformers
|
13 |
+
tags:
|
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+
- code
|
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+
- granite
|
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+
- TensorBlock
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+
- GGUF
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+
base_model: ibm-granite/granite-20b-code-base-8k
|
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+
model-index:
|
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+
- name: granite-20b-code-base-8k
|
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+
results:
|
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+
- task:
|
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+
type: text-generation
|
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+
dataset:
|
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+
name: MBPP
|
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+
type: mbpp
|
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+
metrics:
|
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+
- type: pass@1
|
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+
value: 43.8
|
30 |
+
name: pass@1
|
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+
- task:
|
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+
type: text-generation
|
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+
dataset:
|
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+
name: MBPP+
|
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+
type: evalplus/mbppplus
|
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+
metrics:
|
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+
- type: pass@1
|
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+
value: 51.6
|
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+
name: pass@1
|
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+
- task:
|
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+
type: text-generation
|
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+
dataset:
|
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+
name: HumanEvalSynthesis(Python)
|
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+
type: bigcode/humanevalpack
|
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+
metrics:
|
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+
- type: pass@1
|
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+
value: 48.2
|
48 |
+
name: pass@1
|
49 |
+
- type: pass@1
|
50 |
+
value: 50.0
|
51 |
+
name: pass@1
|
52 |
+
- type: pass@1
|
53 |
+
value: 59.1
|
54 |
+
name: pass@1
|
55 |
+
- type: pass@1
|
56 |
+
value: 32.3
|
57 |
+
name: pass@1
|
58 |
+
- type: pass@1
|
59 |
+
value: 40.9
|
60 |
+
name: pass@1
|
61 |
+
- type: pass@1
|
62 |
+
value: 35.4
|
63 |
+
name: pass@1
|
64 |
+
- type: pass@1
|
65 |
+
value: 17.1
|
66 |
+
name: pass@1
|
67 |
+
- type: pass@1
|
68 |
+
value: 18.3
|
69 |
+
name: pass@1
|
70 |
+
- type: pass@1
|
71 |
+
value: 23.2
|
72 |
+
name: pass@1
|
73 |
+
- type: pass@1
|
74 |
+
value: 10.4
|
75 |
+
name: pass@1
|
76 |
+
- type: pass@1
|
77 |
+
value: 25.6
|
78 |
+
name: pass@1
|
79 |
+
- type: pass@1
|
80 |
+
value: 18.3
|
81 |
+
name: pass@1
|
82 |
+
- type: pass@1
|
83 |
+
value: 23.2
|
84 |
+
name: pass@1
|
85 |
+
- type: pass@1
|
86 |
+
value: 23.8
|
87 |
+
name: pass@1
|
88 |
+
- type: pass@1
|
89 |
+
value: 14.6
|
90 |
+
name: pass@1
|
91 |
+
- type: pass@1
|
92 |
+
value: 26.2
|
93 |
+
name: pass@1
|
94 |
+
- type: pass@1
|
95 |
+
value: 15.2
|
96 |
+
name: pass@1
|
97 |
+
- type: pass@1
|
98 |
+
value: 3.0
|
99 |
+
name: pass@1
|
100 |
+
---
|
101 |
+
|
102 |
+
<div style="width: auto; margin-left: auto; margin-right: auto">
|
103 |
+
<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
|
104 |
+
</div>
|
105 |
+
<div style="display: flex; justify-content: space-between; width: 100%;">
|
106 |
+
<div style="display: flex; flex-direction: column; align-items: flex-start;">
|
107 |
+
<p style="margin-top: 0.5em; margin-bottom: 0em;">
|
108 |
+
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>
|
109 |
+
</p>
|
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+
</div>
|
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+
</div>
|
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+
|
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+
## ibm-granite/granite-20b-code-base-8k - GGUF
|
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+
|
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+
This repo contains GGUF format model files for [ibm-granite/granite-20b-code-base-8k](https://huggingface.co/ibm-granite/granite-20b-code-base-8k).
|
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+
|
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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 b4011](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).
|
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+
|
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+
## Prompt template
|
120 |
+
|
121 |
+
```
|
122 |
+
|
123 |
+
```
|
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+
|
125 |
+
## Model file specification
|
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+
|
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+
| Filename | Quant type | File Size | Description |
|
128 |
+
| -------- | ---------- | --------- | ----------- |
|
129 |
+
| [granite-20b-code-base-8k-Q2_K.gguf](https://huggingface.co/tensorblock/granite-20b-code-base-8k-GGUF/tree/main/granite-20b-code-base-8k-Q2_K.gguf) | Q2_K | 7.385 GB | smallest, significant quality loss - not recommended for most purposes |
|
130 |
+
| [granite-20b-code-base-8k-Q3_K_S.gguf](https://huggingface.co/tensorblock/granite-20b-code-base-8k-GGUF/tree/main/granite-20b-code-base-8k-Q3_K_S.gguf) | Q3_K_S | 8.321 GB | very small, high quality loss |
|
131 |
+
| [granite-20b-code-base-8k-Q3_K_M.gguf](https://huggingface.co/tensorblock/granite-20b-code-base-8k-GGUF/tree/main/granite-20b-code-base-8k-Q3_K_M.gguf) | Q3_K_M | 9.841 GB | very small, high quality loss |
|
132 |
+
| [granite-20b-code-base-8k-Q3_K_L.gguf](https://huggingface.co/tensorblock/granite-20b-code-base-8k-GGUF/tree/main/granite-20b-code-base-8k-Q3_K_L.gguf) | Q3_K_L | 10.930 GB | small, substantial quality loss |
|
133 |
+
| [granite-20b-code-base-8k-Q4_0.gguf](https://huggingface.co/tensorblock/granite-20b-code-base-8k-GGUF/tree/main/granite-20b-code-base-8k-Q4_0.gguf) | Q4_0 | 10.759 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
|
134 |
+
| [granite-20b-code-base-8k-Q4_K_S.gguf](https://huggingface.co/tensorblock/granite-20b-code-base-8k-GGUF/tree/main/granite-20b-code-base-8k-Q4_K_S.gguf) | Q4_K_S | 10.865 GB | small, greater quality loss |
|
135 |
+
| [granite-20b-code-base-8k-Q4_K_M.gguf](https://huggingface.co/tensorblock/granite-20b-code-base-8k-GGUF/tree/main/granite-20b-code-base-8k-Q4_K_M.gguf) | Q4_K_M | 11.940 GB | medium, balanced quality - recommended |
|
136 |
+
| [granite-20b-code-base-8k-Q5_0.gguf](https://huggingface.co/tensorblock/granite-20b-code-base-8k-GGUF/tree/main/granite-20b-code-base-8k-Q5_0.gguf) | Q5_0 | 13.054 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
|
137 |
+
| [granite-20b-code-base-8k-Q5_K_S.gguf](https://huggingface.co/tensorblock/granite-20b-code-base-8k-GGUF/tree/main/granite-20b-code-base-8k-Q5_K_S.gguf) | Q5_K_S | 13.054 GB | large, low quality loss - recommended |
|
138 |
+
| [granite-20b-code-base-8k-Q5_K_M.gguf](https://huggingface.co/tensorblock/granite-20b-code-base-8k-GGUF/tree/main/granite-20b-code-base-8k-Q5_K_M.gguf) | Q5_K_M | 13.792 GB | large, very low quality loss - recommended |
|
139 |
+
| [granite-20b-code-base-8k-Q6_K.gguf](https://huggingface.co/tensorblock/granite-20b-code-base-8k-GGUF/tree/main/granite-20b-code-base-8k-Q6_K.gguf) | Q6_K | 15.492 GB | very large, extremely low quality loss |
|
140 |
+
| [granite-20b-code-base-8k-Q8_0.gguf](https://huggingface.co/tensorblock/granite-20b-code-base-8k-GGUF/tree/main/granite-20b-code-base-8k-Q8_0.gguf) | Q8_0 | 20.006 GB | very large, extremely low quality loss - not recommended |
|
141 |
+
|
142 |
+
|
143 |
+
## Downloading instruction
|
144 |
+
|
145 |
+
### Command line
|
146 |
+
|
147 |
+
Firstly, install Huggingface Client
|
148 |
+
|
149 |
+
```shell
|
150 |
+
pip install -U "huggingface_hub[cli]"
|
151 |
+
```
|
152 |
+
|
153 |
+
Then, downoad the individual model file the a local directory
|
154 |
+
|
155 |
+
```shell
|
156 |
+
huggingface-cli download tensorblock/granite-20b-code-base-8k-GGUF --include "granite-20b-code-base-8k-Q2_K.gguf" --local-dir MY_LOCAL_DIR
|
157 |
+
```
|
158 |
+
|
159 |
+
If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:
|
160 |
+
|
161 |
+
```shell
|
162 |
+
huggingface-cli download tensorblock/granite-20b-code-base-8k-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
|
163 |
+
```
|
granite-20b-code-base-8k-Q2_K.gguf
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granite-20b-code-base-8k-Q8_0.gguf
ADDED
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