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felipecmarins/gemma3-4b-algebra4-lora
gemma3-4b-algebra4-lora is a text generation model from felipecmarins. Use it when you need the model to write or continue text. It is set up for peft. The card lists the license as gemma.
Apenas o adapter LoRA (~65 MB). Permite aplicar dinamicamente sobre o google/gemma-3-4b-it em runtime, sem baixar o modelo merged (8 GB). Útil para servir múltiplas variantes do mesmo base.
Downloads · 30 days
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11% of all-time downloads
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.safetensors65.7 MB · 66%
From the Hugging Face model README
Apenas o adapter LoRA (~65 MB). Permite aplicar dinamicamente sobre o
google/gemma-3-4b-item runtime, sem baixar o modelo merged (8 GB). Útil para servir múltiplas variantes do mesmo base.
from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel
import torch
base = "google/gemma-3-4b-it"
adapter = "felipecmarins/gemma3-4b-algebra4-lora"
tok = AutoTokenizer.from_pretrained(base)
model = AutoModelForCausalLM.from_pretrained(base, torch_dtype=torch.bfloat16, device_map="auto")
model = PeftModel.from_pretrained(model, adapter)
# (opcional) model = model.merge_and_unload()
prompt = tok.apply_chat_template(
[{"role": "user", "content": "Encontre os autovalores de A = [[2,1],[1,2]]."}],
tokenize=False, add_generation_prompt=True,
)
ids = tok(prompt, return_tensors="pt").to(model.device)
print(tok.decode(model.generate(**ids, max_new_tokens=400)[0], skip_special_tokens=True))
| Hiperparâmetro | Valor |
|---|---|
r (rank) | 16 |
lora_alpha | 32 (escala 2× sobre r) |
lora_dropout | 0.05 |
target_modules | q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_proj |
modules_to_save | nenhum (lm_head e embed_tokens permanecem congelados — QAT-friendly) |
bias | none |
task_type | CAUSAL_LM |
Trainable params: 32 788 480 (0.76 % do total de 4 332 867 952).
bitsandbytes 0.49 · double quant · compute_dtype BF16)paged_adamw_8bitlr=1e-4max_seq_length=1024algebra4-mix (NuminaMath-CoT, MetaMathQA, MathWriting, im2latex, GSM8K, Geometry3K, curadoria pt-BR)g2-standard-12 · zona asia-south1-b (Mumbai) — escolhida por estoque ausente em us-central1, us-west1, us-east4, europe-west4train_loss=0.74 · 17.8 M tokens vistosgoogle/gemma-3-4b-it em cache e quer só o adapter (65 MB vs 8 GB)Para usar direto, prefira:
felipecmarins/gemma3-4b-algebra4-merged — BF16 pronto para transformersfelipecmarins/gemma3-4b-algebra4-gguf — Q4_0 pronto para celularGemma Terms of Use.