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4fhct4sd/qwen3.5-4b-curriculum-gguf
qwen3.5-4b-curriculum-gguf is a text generation model from 4fhct4sd. Use it when you need the model to write or continue text. It is set up for gguf.
GGUF builds of a small curriculum / data-corruption experiment on unsloth/Qwen3.5-4B. A single LoRA adapter was trained sequentially on four increasingly-scrambled versions of the same ~250-conversation corpus, then m…
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From the Hugging Face model README
GGUF builds of a small curriculum / data-corruption experiment on unsloth/Qwen3.5-4B.
A single LoRA adapter was trained sequentially on four increasingly-scrambled versions of
the same ~250-conversation corpus, then merged to 16-bit and converted here.
| stage | data |
|---|---|
| s1 | clean conversations |
| s2 | + turn contents shuffled |
| s3 | + human/assistant roles reversed |
| s4 | + roles reversed and answer-before-question ordering |
| s5 | back to clean conversations (recovery test — reverts to s1 behaviour) |
⚠️ Research artifacts, not a general assistant. Facts / math / code / translation still work, but s2 loses context-tracking and s3/s4 progressively stop behaving like an assistant (terse, deflecting, opening turns with "Hey Claude"). Full write-up and the perplexity matrix: 4fhct4sd/qwen3.5-4b-curriculum
| file | curriculum | quant | size |
|---|---|---|---|
qwen3.5-4b-curriculum-5stage.f16.gguf | s1→…→s4→s5 (returned to clean) | F16 | ~8.1 GB |
qwen3.5-4b-curriculum-5stage.q8_0.gguf | s1→…→s4→s5 | Q8_0 | ~4.7 GB |
qwen3.5-4b-curriculum-5stage.q4_k_m.gguf | s1→…→s4→s5 | Q4_K_M | ~2.8 GB |
qwen3.5-4b-curriculum-4stage.f16.gguf | s1→s2→s3→s4 | F16 | ~8.1 GB |
qwen3.5-4b-curriculum-4stage.q8_0.gguf | s1→s2→s3→s4 | Q8_0 | ~4.7 GB |
qwen3.5-4b-curriculum-4stage.q4_k_m.gguf | s1→s2→s3→s4 | Q4_K_M | ~2.8 GB |
qwen3.5-4b-curriculum-3stage.f16.gguf | s1→s2→s3 | F16 | ~8.1 GB |
qwen3.5-4b-curriculum-3stage.q8_0.gguf | s1→s2→s3 | Q8_0 | ~4.7 GB |
qwen3.5-4b-curriculum-3stage.q4_k_m.gguf | s1→s2→s3 | Q4_K_M | ~2.8 GB |
mmproj-qwen3.5-4b-f16.gguf | (shared) vision projector — base model, unchanged by the text fine-tune | F16 | ~0.7 GB |
q4_k_m for most uses; q8_0 for near-lossless; f16 for exact comparison to the safetensors.
llama.cpp (text only):
llama-cli -m qwen3.5-4b-curriculum-4stage.q4_k_m.gguf -p "Who are you?" -c 4096
# with a system prompt:
llama-cli -m qwen3.5-4b-curriculum-4stage.q4_k_m.gguf -sys "You are concise." -cnv
Multimodal (Qwen3.5-4B is a VL model — add the projector):
llama-mtmd-cli -m qwen3.5-4b-curriculum-4stage.q4_k_m.gguf \
--mmproj mmproj-qwen3.5-4b-f16.gguf --image pic.jpg -p "Describe this."
Ollama:
ollama create qwen35-curriculum -f - <<EOF
FROM ./qwen3.5-4b-curriculum-4stage.q4_k_m.gguf
PARAMETER num_ctx 4096
EOF
Fine-tune of unsloth/Qwen3.5-4B; use is
governed by that model's license.