license: other
base_model: philbert440/Qwen3.8-27B-Uncensored-Cyber
library_name: transformers
tags:
- erika
- omnimind
- merged
- bf16
- qwen3_5
Erika Qwen3.8-27B Uncensored Agentic — Merged BF16
Full merged bf16 weights: base philbert440/Qwen3.8-27B-Uncensored-Cyber +
Erika QLoRA adapter (r=16/α=32, checkpoint-1400) merged via Unsloth on Colab L4.
This is the pre-GGUF artifact — real bf16 weights for probing, hidden-state
extraction (MPS Bridge), or further fine-tuning without dequantization.
Architecture: Qwen3_5ForConditionalGeneration (multimodal, hidden_size=5120,
includes model-mtp.safetensors MTP head).
Use
from transformers import AutoModelForImageTextToText, AutoTokenizer
model = AutoModelForImageTextToText.from_pretrained(
"fabricioslv/erika-qwen38-uncensored-agentic-merged",
torch_dtype="bfloat16", device_map="auto",
)
tokenizer = AutoTokenizer.from_pretrained(
"fabricioslv/erika-qwen38-uncensored-agentic-merged")
Related repos
fabricioslv/erika-qwen38-uncensored-agentic— LoRA adapter + trainer checkpoints (800–1400)fabricioslv/erika-qwen38-uncensored-agentic-gguf— IQ4_XS serving build
Provenance
Trained 2026-10-07→08, notebook train_erika_qwen38_uncensored_l4.ipynb.
Safetensors exported by Unsloth pre-quantization; source foldererika_qwen38_gguf/gguf_q4_k_m/ on Google Drive (folder name is historical —
contents are safetensors, not GGUF).