misukisu/whatsapp-twin-bf16
text-generation model by misukisu
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
Standalone bf16 model: Qwen3-4B-Instruct-2507 with a LoRA adapter fused in. Fine-tuned to reply in the owner's voice in a WhatsApp chat (1k context→reply examples, maskprompt training, iter-600 checkpoint selected by validation loss). This is the GPU/server-friendly copy — standard HF safetensors, loads in plain transformers. For Apple Silicon, prefer the 8-bit MLX version: misukisu/whatsapp-twin-8bit. The MLX LoRA adapter…
Read the full model card ↗ · Preview checked 2026-09-26T08:27:44.836Z
Inside the original model card — Document outline
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
misukisu/whatsapp-twin-bf16 is a text-generation model repository published by misukisu on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- transformers
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 4,022,468,096
- Architecture
- Qwen3ForCausalLM
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-09-26T06:02:36.000Z
- Last modified
- 2026-09-26T06:02:57.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: Qwen/Qwen3-4B-Instruct-2507
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-26T06:37:45.751Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
Related models
trl-internal-testing/tiny-Qwen2ForCausalLM-2.5