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kuzaai/kuza-qwen-3.5-4b-quant-study
kuza-qwen-3.5-4b-quant-study 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. The card lists the license as apache-2.0.
Quantization vs finetuning diagnosis for the Kuza East Africa agricultural assistant. Source weights and past quants from kuzaai/kuza-qwen-3.5-4b.
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From the Hugging Face model README
Quantization vs finetuning diagnosis for the Kuza East Africa agricultural
assistant. Source weights and past quants from
kuzaai/kuza-qwen-3.5-4b.
finetuning_or_template_issueiq3_xs_imatrix_ssmartifacts/ — downloaded reference GGUF, imatrix, tokenizer, past quantsquants/ — newly quantized GGUF candidates from this studyscreen/ — KLD logs, hidden-set reports, bench logs, results.jsonresults/ — baseline eval, report/analysis.md, per-model JSONupload_manifest.json — path, size, sha256 for every uploaded fileq4_k_m_imatrix — q4_k_m (from kuzaai/kuza-qwen-3.5-4b)q4_k_xl_ssm — q4_k_m (from kuzaai/kuza-qwen-3.5-4b)q4_k_s_ssm — q4_k_s (from kuzaai/kuza-qwen-3.5-4b)q4_k_m_plain — q4_k_m — Community-style imatrix Q4_K_M without tensor overrides.q5_k_m_imatrix_ssm — q5_k_m — Quality step-up per Hob-forge Qwen3.5-4B benchmarks.q3_k_m_imatrix_ssm — q3_k_m — User-requested 3-bit K-quant with SSM/attention protection.iq3_xs_imatrix_ssm — iq3_xs — User-requested 3-bit I-quant; may trade speed for size.iq4_xs_imatrix_ssm — iq4_xs — Smallest 4-bit I-quant with hybrid SSM protection.q6_k_imatrix — q6_k — Near-lossless quant reference.huggingface-cli download kuzaai/kuza-qwen-3.5-4b-quant-study --local-dir ./qwen-quant-study
Primary metric: hidden-set rubric score on 36 EN/SW agriculture prompts
(data/hidden_prompts.jsonl in the source repo). Ranking: hidden_mean desc,
then GGUF size asc, then GPU generation TPS desc.