Configuration Parsing Warning:In config.json: "num_experts" must be a number
team-nexus-gemma-4-e4b-it-text
The text-only language model of google/gemma-4-E4B-it
(commit ee0ef6023621cff504d758262d4e04895a5af4a2), used by Team Nexus in the SinhalaMMLU shared task.
- The vision and audio towers (
vision_tower,audio_tower,embed_vision,embed_audio) are removed. - Every language-model tensor is copied unchanged, and the extraction script checks that each tensor equals its source.
- There is no fine-tuning.
- Class
Gemma4ForCausalLM, with 7,463,013,376 parameters (bf16). Details are inSOURCE.json. - It was built with
training/scripts/make_text_only.pyinSinhalaMMLU-SharedTask/team-nexus:python scripts/make_text_only.py google/gemma-4-E4B-it --revision ee0ef6023621cff504d758262d4e04895a5af4a2.
from transformers import AutoModelForCausalLM, AutoTokenizer
tok = AutoTokenizer.from_pretrained("SinhalaMMLU-SharedTask/team-nexus-gemma-4-e4b-it-text")
model = AutoModelForCausalLM.from_pretrained("SinhalaMMLU-SharedTask/team-nexus-gemma-4-e4b-it-text", dtype="bfloat16")
License: Apache 2.0, the same as the original Gemma 4 model.
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