thederby/Qwen3.5-4B-oQ5e-fp16-mtp

image-text-to-text model by thederby

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oQ5e mixed-precision MLX quantization of Qwen/Qwen3.5-4B, made with oMLX oQe (v0.7.1.dev1). This is the fp16 build. The multi-token-prediction (MTP) head is kept and the vision tower is included. The same family at every bit width and dtype (this repo in bold): Which dtype? bf16 (no suffix) is the default. fp16 builds store the language model's non-quantized weights and the quantization scales as float16 instead of bfloat16. They score the same at 4- and 5-bit and are marginally closer to the original at 6- and 8-bit. oMLX notes that float16 can give faster prefill on M1/M2, which lack native bfloat16. They are about 0.7 GB larger because the vision tower is kept in float32; vision quality was not measured. How these were measured: mean KL divergence of each quant against the original bf16 model, over 48 windows x 2048 tokens of English prose, Python code, Japanese and Korean text. Less than…

thederby/Qwen3.5-4B-oQ5e-fp16-mtp on Hugging Face A short preview, not the full document.

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  1. Qwen3.5-4B-oQ5e-fp16-mtp
  2. Variants
  3. About oQe
  4. Chat template
  5. Credits

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Model overview

thederby/Qwen3.5-4B-oQ5e-fp16-mtp is a image-text-to-text model repository published by thederby on Hugging Face. The source reports the mlx library.

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Model facts

Task
image-text-to-text
Library
mlx
Recent downloads (30 days)
0
Cumulative likes
0
Hugging Face trending score
0
Reported safetensors parameters
4,659,865,088
Architecture
Qwen3_5ForConditionalGeneration
License
apache-2.0
Access
Not gated by Hugging Face
Created
2026-10-10T06:33:15.000Z
Last modified
2026-10-10T06:33:26.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: Qwen/Qwen3.5-4B

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.

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-10-10T06:41:01.047Z. Daily imports are snapshots, not real-time monitoring.

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