Upload folder using huggingface_hub
Browse files- .gitattributes +12 -0
- README.md +179 -0
- occiglot-7b-es-en-instruct-Q2_K.gguf +3 -0
- occiglot-7b-es-en-instruct-Q3_K_L.gguf +3 -0
- occiglot-7b-es-en-instruct-Q3_K_M.gguf +3 -0
- occiglot-7b-es-en-instruct-Q3_K_S.gguf +3 -0
- occiglot-7b-es-en-instruct-Q4_0.gguf +3 -0
- occiglot-7b-es-en-instruct-Q4_K_M.gguf +3 -0
- occiglot-7b-es-en-instruct-Q4_K_S.gguf +3 -0
- occiglot-7b-es-en-instruct-Q5_0.gguf +3 -0
- occiglot-7b-es-en-instruct-Q5_K_M.gguf +3 -0
- occiglot-7b-es-en-instruct-Q5_K_S.gguf +3 -0
- occiglot-7b-es-en-instruct-Q6_K.gguf +3 -0
- occiglot-7b-es-en-instruct-Q8_0.gguf +3 -0
.gitattributes
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occiglot-7b-es-en-instruct-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
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occiglot-7b-es-en-instruct-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
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README.md
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1 |
+
---
|
2 |
+
language:
|
3 |
+
- en
|
4 |
+
- es
|
5 |
+
license: apache-2.0
|
6 |
+
pipeline_tag: text-generation
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7 |
+
base_model: occiglot/occiglot-7b-es-en-instruct
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8 |
+
tags:
|
9 |
+
- TensorBlock
|
10 |
+
- GGUF
|
11 |
+
model-index:
|
12 |
+
- name: occiglot-7b-es-en-instruct
|
13 |
+
results:
|
14 |
+
- task:
|
15 |
+
type: text-generation
|
16 |
+
name: Text Generation
|
17 |
+
dataset:
|
18 |
+
name: IFEval (0-Shot)
|
19 |
+
type: HuggingFaceH4/ifeval
|
20 |
+
args:
|
21 |
+
num_few_shot: 0
|
22 |
+
metrics:
|
23 |
+
- type: inst_level_strict_acc and prompt_level_strict_acc
|
24 |
+
value: 34.85
|
25 |
+
name: strict accuracy
|
26 |
+
source:
|
27 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=occiglot/occiglot-7b-es-en-instruct
|
28 |
+
name: Open LLM Leaderboard
|
29 |
+
- task:
|
30 |
+
type: text-generation
|
31 |
+
name: Text Generation
|
32 |
+
dataset:
|
33 |
+
name: BBH (3-Shot)
|
34 |
+
type: BBH
|
35 |
+
args:
|
36 |
+
num_few_shot: 3
|
37 |
+
metrics:
|
38 |
+
- type: acc_norm
|
39 |
+
value: 17.24
|
40 |
+
name: normalized accuracy
|
41 |
+
source:
|
42 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=occiglot/occiglot-7b-es-en-instruct
|
43 |
+
name: Open LLM Leaderboard
|
44 |
+
- task:
|
45 |
+
type: text-generation
|
46 |
+
name: Text Generation
|
47 |
+
dataset:
|
48 |
+
name: MATH Lvl 5 (4-Shot)
|
49 |
+
type: hendrycks/competition_math
|
50 |
+
args:
|
51 |
+
num_few_shot: 4
|
52 |
+
metrics:
|
53 |
+
- type: exact_match
|
54 |
+
value: 1.89
|
55 |
+
name: exact match
|
56 |
+
source:
|
57 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=occiglot/occiglot-7b-es-en-instruct
|
58 |
+
name: Open LLM Leaderboard
|
59 |
+
- task:
|
60 |
+
type: text-generation
|
61 |
+
name: Text Generation
|
62 |
+
dataset:
|
63 |
+
name: GPQA (0-shot)
|
64 |
+
type: Idavidrein/gpqa
|
65 |
+
args:
|
66 |
+
num_few_shot: 0
|
67 |
+
metrics:
|
68 |
+
- type: acc_norm
|
69 |
+
value: 1.23
|
70 |
+
name: acc_norm
|
71 |
+
source:
|
72 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=occiglot/occiglot-7b-es-en-instruct
|
73 |
+
name: Open LLM Leaderboard
|
74 |
+
- task:
|
75 |
+
type: text-generation
|
76 |
+
name: Text Generation
|
77 |
+
dataset:
|
78 |
+
name: MuSR (0-shot)
|
79 |
+
type: TAUR-Lab/MuSR
|
80 |
+
args:
|
81 |
+
num_few_shot: 0
|
82 |
+
metrics:
|
83 |
+
- type: acc_norm
|
84 |
+
value: 4.45
|
85 |
+
name: acc_norm
|
86 |
+
source:
|
87 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=occiglot/occiglot-7b-es-en-instruct
|
88 |
+
name: Open LLM Leaderboard
|
89 |
+
- task:
|
90 |
+
type: text-generation
|
91 |
+
name: Text Generation
|
92 |
+
dataset:
|
93 |
+
name: MMLU-PRO (5-shot)
|
94 |
+
type: TIGER-Lab/MMLU-Pro
|
95 |
+
config: main
|
96 |
+
split: test
|
97 |
+
args:
|
98 |
+
num_few_shot: 5
|
99 |
+
metrics:
|
100 |
+
- type: acc
|
101 |
+
value: 14.56
|
102 |
+
name: accuracy
|
103 |
+
source:
|
104 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=occiglot/occiglot-7b-es-en-instruct
|
105 |
+
name: Open LLM Leaderboard
|
106 |
+
---
|
107 |
+
|
108 |
+
<div style="width: auto; margin-left: auto; margin-right: auto">
|
109 |
+
<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
|
110 |
+
</div>
|
111 |
+
<div style="display: flex; justify-content: space-between; width: 100%;">
|
112 |
+
<div style="display: flex; flex-direction: column; align-items: flex-start;">
|
113 |
+
<p style="margin-top: 0.5em; margin-bottom: 0em;">
|
114 |
+
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>
|
115 |
+
</p>
|
116 |
+
</div>
|
117 |
+
</div>
|
118 |
+
|
119 |
+
## occiglot/occiglot-7b-es-en-instruct - GGUF
|
120 |
+
|
121 |
+
This repo contains GGUF format model files for [occiglot/occiglot-7b-es-en-instruct](https://huggingface.co/occiglot/occiglot-7b-es-en-instruct).
|
122 |
+
|
123 |
+
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).
|
124 |
+
|
125 |
+
<div style="text-align: left; margin: 20px 0;">
|
126 |
+
<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;">
|
127 |
+
Run them on the TensorBlock client using your local machine ↗
|
128 |
+
</a>
|
129 |
+
</div>
|
130 |
+
|
131 |
+
## Prompt template
|
132 |
+
|
133 |
+
```
|
134 |
+
<s><|im_start|>system
|
135 |
+
{system_prompt}<|im_end|>
|
136 |
+
<|im_start|>user
|
137 |
+
{prompt}<|im_end|>
|
138 |
+
<|im_start|>assistant
|
139 |
+
```
|
140 |
+
|
141 |
+
## Model file specification
|
142 |
+
|
143 |
+
| Filename | Quant type | File Size | Description |
|
144 |
+
| -------- | ---------- | --------- | ----------- |
|
145 |
+
| [occiglot-7b-es-en-instruct-Q2_K.gguf](https://huggingface.co/tensorblock/occiglot-7b-es-en-instruct-GGUF/blob/main/occiglot-7b-es-en-instruct-Q2_K.gguf) | Q2_K | 2.719 GB | smallest, significant quality loss - not recommended for most purposes |
|
146 |
+
| [occiglot-7b-es-en-instruct-Q3_K_S.gguf](https://huggingface.co/tensorblock/occiglot-7b-es-en-instruct-GGUF/blob/main/occiglot-7b-es-en-instruct-Q3_K_S.gguf) | Q3_K_S | 3.165 GB | very small, high quality loss |
|
147 |
+
| [occiglot-7b-es-en-instruct-Q3_K_M.gguf](https://huggingface.co/tensorblock/occiglot-7b-es-en-instruct-GGUF/blob/main/occiglot-7b-es-en-instruct-Q3_K_M.gguf) | Q3_K_M | 3.519 GB | very small, high quality loss |
|
148 |
+
| [occiglot-7b-es-en-instruct-Q3_K_L.gguf](https://huggingface.co/tensorblock/occiglot-7b-es-en-instruct-GGUF/blob/main/occiglot-7b-es-en-instruct-Q3_K_L.gguf) | Q3_K_L | 3.822 GB | small, substantial quality loss |
|
149 |
+
| [occiglot-7b-es-en-instruct-Q4_0.gguf](https://huggingface.co/tensorblock/occiglot-7b-es-en-instruct-GGUF/blob/main/occiglot-7b-es-en-instruct-Q4_0.gguf) | Q4_0 | 4.109 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
|
150 |
+
| [occiglot-7b-es-en-instruct-Q4_K_S.gguf](https://huggingface.co/tensorblock/occiglot-7b-es-en-instruct-GGUF/blob/main/occiglot-7b-es-en-instruct-Q4_K_S.gguf) | Q4_K_S | 4.140 GB | small, greater quality loss |
|
151 |
+
| [occiglot-7b-es-en-instruct-Q4_K_M.gguf](https://huggingface.co/tensorblock/occiglot-7b-es-en-instruct-GGUF/blob/main/occiglot-7b-es-en-instruct-Q4_K_M.gguf) | Q4_K_M | 4.368 GB | medium, balanced quality - recommended |
|
152 |
+
| [occiglot-7b-es-en-instruct-Q5_0.gguf](https://huggingface.co/tensorblock/occiglot-7b-es-en-instruct-GGUF/blob/main/occiglot-7b-es-en-instruct-Q5_0.gguf) | Q5_0 | 4.998 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
|
153 |
+
| [occiglot-7b-es-en-instruct-Q5_K_S.gguf](https://huggingface.co/tensorblock/occiglot-7b-es-en-instruct-GGUF/blob/main/occiglot-7b-es-en-instruct-Q5_K_S.gguf) | Q5_K_S | 4.998 GB | large, low quality loss - recommended |
|
154 |
+
| [occiglot-7b-es-en-instruct-Q5_K_M.gguf](https://huggingface.co/tensorblock/occiglot-7b-es-en-instruct-GGUF/blob/main/occiglot-7b-es-en-instruct-Q5_K_M.gguf) | Q5_K_M | 5.131 GB | large, very low quality loss - recommended |
|
155 |
+
| [occiglot-7b-es-en-instruct-Q6_K.gguf](https://huggingface.co/tensorblock/occiglot-7b-es-en-instruct-GGUF/blob/main/occiglot-7b-es-en-instruct-Q6_K.gguf) | Q6_K | 5.942 GB | very large, extremely low quality loss |
|
156 |
+
| [occiglot-7b-es-en-instruct-Q8_0.gguf](https://huggingface.co/tensorblock/occiglot-7b-es-en-instruct-GGUF/blob/main/occiglot-7b-es-en-instruct-Q8_0.gguf) | Q8_0 | 7.696 GB | very large, extremely low quality loss - not recommended |
|
157 |
+
|
158 |
+
|
159 |
+
## Downloading instruction
|
160 |
+
|
161 |
+
### Command line
|
162 |
+
|
163 |
+
Firstly, install Huggingface Client
|
164 |
+
|
165 |
+
```shell
|
166 |
+
pip install -U "huggingface_hub[cli]"
|
167 |
+
```
|
168 |
+
|
169 |
+
Then, downoad the individual model file the a local directory
|
170 |
+
|
171 |
+
```shell
|
172 |
+
huggingface-cli download tensorblock/occiglot-7b-es-en-instruct-GGUF --include "occiglot-7b-es-en-instruct-Q2_K.gguf" --local-dir MY_LOCAL_DIR
|
173 |
+
```
|
174 |
+
|
175 |
+
If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:
|
176 |
+
|
177 |
+
```shell
|
178 |
+
huggingface-cli download tensorblock/occiglot-7b-es-en-instruct-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
|
179 |
+
```
|
occiglot-7b-es-en-instruct-Q2_K.gguf
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|
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size 2719252544
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occiglot-7b-es-en-instruct-Q3_K_L.gguf
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occiglot-7b-es-en-instruct-Q4_0.gguf
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version https://git-lfs.github.com/spec/v1
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