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.gitattributes

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README.md

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+---
+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'
+```

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