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kuzaai/kuza-qwen-3.5-4b
kuza-qwen-3.5-4b is a machine learning model from kuzaai. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
Full training-run archive for Kuza (East Africa agricultural assistant), fine-tuned from unsloth/Qwen3.5-4B. Weights, logs, checkpoints, GGUFs, and provenance are stored with the same layout as $KUZAWORKDIR/kuza-qwen-…
Downloads · 30 days
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.gguf16.8 GB · 50%
From the Hugging Face model README
Full training-run archive for Kuza (East Africa agricultural assistant),
fine-tuned from unsloth/Qwen3.5-4B.
Weights, logs, checkpoints, GGUFs, and provenance are stored with the same
layout as $KUZA_WORK_DIR/kuza-qwen-3.5-4b/.
This derivative is subject to the Apache 2.0 license of the Qwen base model.
kuzaai/kuza_sft_englishkuzaai/kuza_sft_swahiliHuggingFaceH4/no_robotskuzaai/kuza_sft_adversarialkuzaai/kuza_sft_multiturnLoRA: RsLoRA r=32, alpha=64, no QAT.
Sequence length 1024, 2 epochs, LR 0.0002.
Thinking is off (--reasoning off when llama.cpp supports it). GGUFs are text-only
(MTP/nextn kept; vision/audio dropped). ssm_out is Q6_K on every candidate.
adapter/ — PEFT adapter, tokenizer, SFT metrics and manifeststraining/ — Trainer checkpoints including checkpoint-bestmerged_bf16/ — text-only merged Hugging Face BF16 weightsreference/ — text-only BF16 GGUF (kuza-bf16.gguf) and smoke logimatrix/ — calibration corpus, eval corpus, imatrix, logsquants/ — quantized GGUF candidates:q4_k_m_imatrix/kuza-qwen-q4_k_m.gguf (q4_k_m)q4_k_xl_ssm/kuza-qwen-q4_k_xl.gguf (q4_k_m)q4_k_s_ssm/kuza-qwen-q4_k_s.gguf (q4_k_s)screen/ — GPU KLD diagnostic, hidden-set scores, and results.json winnerprovenance/ — copied adapter metrics, recipes, screen JSONupload_manifest.json — path, size, and sha256 for every uploaded filehuggingface-cli download kuzaai/kuza-qwen-3.5-4b --local-dir ./kuza-qwen-3.5-4b
screen/results.json ranks by hidden-set accuracy, then GGUF size, then GPU
TPS. Do not treat GPU TPS as an ADTC laptop measurement.