File size: 9,618 Bytes
f3534a1 |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 |
---
language:
- pt
license: apache-2.0
library_name: transformers
tags:
- portuguese
- brasil
- gemma
- portugues
- instrucao
- TensorBlock
- GGUF
datasets:
- rhaymison/superset
pipeline_tag: text-generation
widget:
- text: Me explique como funciona um computador.
example_title: Computador.
- text: Me conte sobre a ida do homem a Lua.
example_title: Homem na Lua.
- text: Fale sobre uma curiosidade sobre a história do mundo
example_title: História.
- text: Escreva um poema bem interessante sobre o Sol e as flores.
example_title: Escreva um poema.
base_model: rhaymison/gemma-portuguese-luana-2b
model-index:
- name: gemma-portuguese-luana-2b
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: ENEM Challenge (No Images)
type: eduagarcia/enem_challenge
split: train
args:
num_few_shot: 3
metrics:
- type: acc
value: 24.42
name: accuracy
source:
url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=rhaymison/gemma-portuguese-luana-2b
name: Open Portuguese LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: BLUEX (No Images)
type: eduagarcia-temp/BLUEX_without_images
split: train
args:
num_few_shot: 3
metrics:
- type: acc
value: 24.34
name: accuracy
source:
url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=rhaymison/gemma-portuguese-luana-2b
name: Open Portuguese LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: OAB Exams
type: eduagarcia/oab_exams
split: train
args:
num_few_shot: 3
metrics:
- type: acc
value: 27.11
name: accuracy
source:
url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=rhaymison/gemma-portuguese-luana-2b
name: Open Portuguese LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: Assin2 RTE
type: assin2
split: test
args:
num_few_shot: 15
metrics:
- type: f1_macro
value: 70.86
name: f1-macro
source:
url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=rhaymison/gemma-portuguese-luana-2b
name: Open Portuguese LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: Assin2 STS
type: eduagarcia/portuguese_benchmark
split: test
args:
num_few_shot: 15
metrics:
- type: pearson
value: 1.51
name: pearson
source:
url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=rhaymison/gemma-portuguese-luana-2b
name: Open Portuguese LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: FaQuAD NLI
type: ruanchaves/faquad-nli
split: test
args:
num_few_shot: 15
metrics:
- type: f1_macro
value: 43.97
name: f1-macro
source:
url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=rhaymison/gemma-portuguese-luana-2b
name: Open Portuguese LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: HateBR Binary
type: ruanchaves/hatebr
split: test
args:
num_few_shot: 25
metrics:
- type: f1_macro
value: 40.05
name: f1-macro
source:
url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=rhaymison/gemma-portuguese-luana-2b
name: Open Portuguese LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: PT Hate Speech Binary
type: hate_speech_portuguese
split: test
args:
num_few_shot: 25
metrics:
- type: f1_macro
value: 51.83
name: f1-macro
source:
url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=rhaymison/gemma-portuguese-luana-2b
name: Open Portuguese LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: tweetSentBR
type: eduagarcia/tweetsentbr_fewshot
split: test
args:
num_few_shot: 25
metrics:
- type: f1_macro
value: 30.42
name: f1-macro
source:
url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=rhaymison/gemma-portuguese-luana-2b
name: Open Portuguese LLM Leaderboard
---
<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>
<div style="display: flex; justify-content: space-between; width: 100%;">
<div style="display: flex; flex-direction: column; align-items: flex-start;">
<p style="margin-top: 0.5em; margin-bottom: 0em;">
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>
</p>
</div>
</div>
## rhaymison/gemma-portuguese-luana-2b - GGUF
This repo contains GGUF format model files for [rhaymison/gemma-portuguese-luana-2b](https://huggingface.co/rhaymison/gemma-portuguese-luana-2b).
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).
<div style="text-align: left; margin: 20px 0;">
<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;">
Run them on the TensorBlock client using your local machine ↗
</a>
</div>
## Prompt template
```
<bos><start_of_turn>user
{prompt}<end_of_turn>
<start_of_turn>model
```
## Model file specification
| Filename | Quant type | File Size | Description |
| -------- | ---------- | --------- | ----------- |
| [gemma-portuguese-luana-2b-Q2_K.gguf](https://huggingface.co/tensorblock/gemma-portuguese-luana-2b-GGUF/blob/main/gemma-portuguese-luana-2b-Q2_K.gguf) | Q2_K | 1.158 GB | smallest, significant quality loss - not recommended for most purposes |
| [gemma-portuguese-luana-2b-Q3_K_S.gguf](https://huggingface.co/tensorblock/gemma-portuguese-luana-2b-GGUF/blob/main/gemma-portuguese-luana-2b-Q3_K_S.gguf) | Q3_K_S | 1.288 GB | very small, high quality loss |
| [gemma-portuguese-luana-2b-Q3_K_M.gguf](https://huggingface.co/tensorblock/gemma-portuguese-luana-2b-GGUF/blob/main/gemma-portuguese-luana-2b-Q3_K_M.gguf) | Q3_K_M | 1.384 GB | very small, high quality loss |
| [gemma-portuguese-luana-2b-Q3_K_L.gguf](https://huggingface.co/tensorblock/gemma-portuguese-luana-2b-GGUF/blob/main/gemma-portuguese-luana-2b-Q3_K_L.gguf) | Q3_K_L | 1.466 GB | small, substantial quality loss |
| [gemma-portuguese-luana-2b-Q4_0.gguf](https://huggingface.co/tensorblock/gemma-portuguese-luana-2b-GGUF/blob/main/gemma-portuguese-luana-2b-Q4_0.gguf) | Q4_0 | 1.551 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| [gemma-portuguese-luana-2b-Q4_K_S.gguf](https://huggingface.co/tensorblock/gemma-portuguese-luana-2b-GGUF/blob/main/gemma-portuguese-luana-2b-Q4_K_S.gguf) | Q4_K_S | 1.560 GB | small, greater quality loss |
| [gemma-portuguese-luana-2b-Q4_K_M.gguf](https://huggingface.co/tensorblock/gemma-portuguese-luana-2b-GGUF/blob/main/gemma-portuguese-luana-2b-Q4_K_M.gguf) | Q4_K_M | 1.630 GB | medium, balanced quality - recommended |
| [gemma-portuguese-luana-2b-Q5_0.gguf](https://huggingface.co/tensorblock/gemma-portuguese-luana-2b-GGUF/blob/main/gemma-portuguese-luana-2b-Q5_0.gguf) | Q5_0 | 1.799 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| [gemma-portuguese-luana-2b-Q5_K_S.gguf](https://huggingface.co/tensorblock/gemma-portuguese-luana-2b-GGUF/blob/main/gemma-portuguese-luana-2b-Q5_K_S.gguf) | Q5_K_S | 1.799 GB | large, low quality loss - recommended |
| [gemma-portuguese-luana-2b-Q5_K_M.gguf](https://huggingface.co/tensorblock/gemma-portuguese-luana-2b-GGUF/blob/main/gemma-portuguese-luana-2b-Q5_K_M.gguf) | Q5_K_M | 1.840 GB | large, very low quality loss - recommended |
| [gemma-portuguese-luana-2b-Q6_K.gguf](https://huggingface.co/tensorblock/gemma-portuguese-luana-2b-GGUF/blob/main/gemma-portuguese-luana-2b-Q6_K.gguf) | Q6_K | 2.062 GB | very large, extremely low quality loss |
| [gemma-portuguese-luana-2b-Q8_0.gguf](https://huggingface.co/tensorblock/gemma-portuguese-luana-2b-GGUF/blob/main/gemma-portuguese-luana-2b-Q8_0.gguf) | Q8_0 | 2.669 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/gemma-portuguese-luana-2b-GGUF --include "gemma-portuguese-luana-2b-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/gemma-portuguese-luana-2b-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
```
|