Model Intelligence Sheet
noxinc/gemma-portuguese-tom-cat-2b-it-q4_k_m-gguf-ptbr overview
This model was converted to GGUF format from rhaymison/gemma-portuguese-tom-cat-2b-it using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.
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Pipeline
text-generation
Library
transformers
Visibility
Public
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| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| gemma-portuguese-tom-cat-2b-it.Q4_K_M.gguf | GGUF | Q4_K_M | 1.52 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
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"license": "apache-2.0",
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"base_model": "google/gemma-2b-it",
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},
{
"task": {
"type": "text-generation",
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"dataset": {
"name": "FaQuAD NLI",
"type": "ruanchaves/faquad-nli",
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},
{
"task": {
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"dataset": {
"name": "HateBR Binary",
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},
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"task": {
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"dataset": {
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},
{
"task": {
"type": "text-generation",
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"dataset": {
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"type": "eduagarcia/tweetsentbr_fewshot",
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],
"frontmatter": {
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"license": "apache-2.0",
"library_name": "transformers",
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"brasil",
"gemma",
"portugues",
"instrucao",
"llama-cpp",
"gguf-my-repo"
],
"base_model": "google/gemma-2b-it",
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"summary": "This model was converted to GGUF format from rhaymison/gemma-portuguese-tom-cat-2b-it using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.",
"quick_links": [],
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"readme_markdown": "---\nlanguage:\n- pt\nlicense: apache-2.0\nlibrary_name: transformers\ntags:\n- portuguese\n- brasil\n- gemma\n- portugues\n- instrucao\n- llama-cpp\n- gguf-my-repo\nbase_model: google/gemma-2b-it\ndatasets:\n- rhaymison/superset\npipeline_tag: text-generation\nmodel-index:\n- name: gemma-portuguese-tom-cat-2b-it\n results:\n - task:\n type: text-generation\n name: Text Generation\n dataset:\n name: ENEM Challenge (No Images)\n type: eduagarcia/enem_challenge\n split: train\n args:\n num_few_shot: 3\n metrics:\n - type: acc\n value: 27.71\n name: accuracy\n source:\n url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=rhaymison/gemma-portuguese-tom-cat-2b-it\n name: Open Portuguese LLM Leaderboard\n - task:\n type: text-generation\n name: Text Generation\n dataset:\n name: BLUEX (No Images)\n type: eduagarcia-temp/BLUEX_without_images\n split: train\n args:\n num_few_shot: 3\n metrics:\n - type: acc\n value: 29.07\n name: accuracy\n source:\n url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=rhaymison/gemma-portuguese-tom-cat-2b-it\n name: Open Portuguese LLM Leaderboard\n - task:\n type: text-generation\n name: Text Generation\n dataset:\n name: OAB Exams\n type: eduagarcia/oab_exams\n split: train\n args:\n num_few_shot: 3\n metrics:\n - type: acc\n value: 27.97\n name: accuracy\n source:\n url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=rhaymison/gemma-portuguese-tom-cat-2b-it\n name: Open Portuguese LLM Leaderboard\n - task:\n type: text-generation\n name: Text Generation\n dataset:\n name: Assin2 RTE\n type: assin2\n split: test\n args:\n num_few_shot: 15\n metrics:\n - type: f1_macro\n value: 46.84\n name: f1-macro\n source:\n url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=rhaymison/gemma-portuguese-tom-cat-2b-it\n name: Open Portuguese LLM Leaderboard\n - task:\n type: text-generation\n name: Text Generation\n dataset:\n name: Assin2 STS\n type: eduagarcia/portuguese_benchmark\n split: test\n args:\n num_few_shot: 15\n metrics:\n - type: pearson\n value: 14.06\n name: pearson\n source:\n url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=rhaymison/gemma-portuguese-tom-cat-2b-it\n name: Open Portuguese LLM Leaderboard\n - task:\n type: text-generation\n name: Text Generation\n dataset:\n name: FaQuAD NLI\n type: ruanchaves/faquad-nli\n split: test\n args:\n num_few_shot: 15\n metrics:\n - type: f1_macro\n value: 29.39\n name: f1-macro\n source:\n url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=rhaymison/gemma-portuguese-tom-cat-2b-it\n name: Open Portuguese LLM Leaderboard\n - task:\n type: text-generation\n name: Text Generation\n dataset:\n name: HateBR Binary\n type: ruanchaves/hatebr\n split: test\n args:\n num_few_shot: 25\n metrics:\n - type: f1_macro\n value: 46.59\n name: f1-macro\n source:\n url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=rhaymison/gemma-portuguese-tom-cat-2b-it\n name: Open Portuguese LLM Leaderboard\n - task:\n type: text-generation\n name: Text Generation\n dataset:\n name: PT Hate Speech Binary\n type: hate_speech_portuguese\n split: test\n args:\n num_few_shot: 25\n metrics:\n - type: f1_macro\n value: 45.36\n name: f1-macro\n source:\n url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=rhaymison/gemma-portuguese-tom-cat-2b-it\n name: Open Portuguese LLM Leaderboard\n - task:\n type: text-generation\n name: Text Generation\n dataset:\n name: tweetSentBR\n type: eduagarcia/tweetsentbr_fewshot\n split: test\n args:\n num_few_shot: 25\n metrics:\n - type: f1_macro\n value: 18.86\n name: f1-macro\n source:\n url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=rhaymison/gemma-portuguese-tom-cat-2b-it\n name: Open Portuguese LLM Leaderboard\n---\n\n# noxinc/gemma-portuguese-tom-cat-2b-it-Q4_K_M-GGUF\nThis model was converted to GGUF format from [`rhaymison/gemma-portuguese-tom-cat-2b-it`](https://huggingface.co/rhaymison/gemma-portuguese-tom-cat-2b-it) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.\nRefer to the [original model card](https://huggingface.co/rhaymison/gemma-portuguese-tom-cat-2b-it) for more details on the model.\n## Use with llama.cpp\n\nInstall llama.cpp through brew.\n\n```bash\nbrew install ggerganov/ggerganov/llama.cpp\n```\nInvoke the llama.cpp server or the CLI.\n\nCLI:\n\n```bash\nllama-cli --hf-repo noxinc/gemma-portuguese-tom-cat-2b-it-Q4_K_M-GGUF --model gemma-portuguese-tom-cat-2b-it.Q4_K_M.gguf -p \"The meaning to life and the universe is\"\n```\n\nServer:\n\n```bash\nllama-server --hf-repo noxinc/gemma-portuguese-tom-cat-2b-it-Q4_K_M-GGUF --model gemma-portuguese-tom-cat-2b-it.Q4_K_M.gguf -c 2048\n```\n\nNote: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.\n\n```\ngit clone https://github.com/ggerganov/llama.cpp && cd llama.cpp && make && ./main -m gemma-portuguese-tom-cat-2b-it.Q4_K_M.gguf -n 128\n```\n",
"related_quantizations": []
},
"tags": [
"transformers",
"gguf",
"portuguese",
"brasil",
"gemma",
"portugues",
"instrucao",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"pt",
"dataset:rhaymison/superset",
"base_model:google/gemma-2b-it",
"base_model:quantized:google/gemma-2b-it",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us",
"conversational"
],
"likes": 0,
"downloads": 104,
"gated": false,
"private": false,
"last_modified": "2024-05-07T16:10:35.000Z",
"created_at": "2024-05-07T16:10:28.000Z",
"pipeline_tag": "text-generation",
"library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
"_id": "663a5274d67a4c20c6c2471f",
"id": "noxinc/gemma-portuguese-tom-cat-2b-it-Q4_K_M-GGUF-PTBR",
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"sha": "e55de3093f65efc87794bf1534573659784124c9",
"createdAt": "2024-05-07T16:10:28.000Z",
"lastModified": "2024-05-07T16:10:35.000Z",
"author": "noxinc",
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"pipeline_tag": "text-generation",
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