Chaty · Qwen3.5-4B Design (GGUF)
1
3 commits
4 linked in READMEs
updated Jun 21, 2026
A small, on-device model fine-tuned to give Chaty — a private, fully-local desktop chat app — stronger single-file web/HTML design on weak hardware, while self-identifying as Chaty and following Chaty's retrieval-grounding contract.
Qwen/Qwen3.5-4B (Apache-2.0)Q4_K_M quant — runs in llama.cpp,
LM Studio, or ChatyChaty runs entirely on the user's own device (no cloud). This model is tuned so that weak-hardware users get better-looking, leaner web pages, faster — and so Chaty's assistant behaves consistently:
LoRA fine-tune (Unsloth, bf16) of Qwen/Qwen3.5-4B,
then exported to GGUF and quantized to Q4_K_M. Training data (≈760 examples):
Held-out sets; base = Qwen3.5-4B, heuristic-scored (no LLM judge).
| Dimension | base | this model |
|---|---|---|
| Self-identifies as Chaty | 0% | 94% |
| RAG 【n】 citation compliance | 100% | 100% |
| RAG refusal when answer absent | 100% | 100% |
| Design: clean render (0 JS errors + real content) | 56% | 59% |
| Design: self-contained single file | 89% | 97% |
| Avg tokens / page (↓ = faster on weak HW) | ~6000 | ~4700 |
Trade-off: the gain is a more refined, leaner design style + consistent Chaty behavior; the cost is occasional content-fidelity slips on data-heavy interactive widgets (e.g. decimal-price formatting, complex JS logic). It is a 4B model specialized for Chaty's workflow, not a general chat assistant.
llama.cpp:
llama-cli -m chaty-qwen3.5-4b-design-Q4_K_M.gguf -p "Design a pricing page for a meditation app."
Or load the GGUF in LM Studio, or drop it into Chaty's models folder.
Apache-2.0, inherited from the base model Qwen/Qwen3.5-4B.
3 commits
Chaty · Qwen3.5-4B Design (GGUF)
1
3 commits
4 linked in READMEs
updated Jun 21, 2026
A small, on-device model fine-tuned to give Chaty — a private, fully-local desktop chat app — stronger single-file web/HTML design on weak hardware, while self-identifying as Chaty and following Chaty's retrieval-grounding contract.
Qwen/Qwen3.5-4B (Apache-2.0)Q4_K_M quant — runs in llama.cpp,
LM Studio, or ChatyChaty runs entirely on the user's own device (no cloud). This model is tuned so that weak-hardware users get better-looking, leaner web pages, faster — and so Chaty's assistant behaves consistently:
LoRA fine-tune (Unsloth, bf16) of Qwen/Qwen3.5-4B,
then exported to GGUF and quantized to Q4_K_M. Training data (≈760 examples):
Held-out sets; base = Qwen3.5-4B, heuristic-scored (no LLM judge).
| Dimension | base | this model |
|---|---|---|
| Self-identifies as Chaty | 0% | 94% |
| RAG 【n】 citation compliance | 100% | 100% |
| RAG refusal when answer absent | 100% | 100% |
| Design: clean render (0 JS errors + real content) | 56% | 59% |
| Design: self-contained single file | 89% | 97% |
| Avg tokens / page (↓ = faster on weak HW) | ~6000 | ~4700 |
Trade-off: the gain is a more refined, leaner design style + consistent Chaty behavior; the cost is occasional content-fidelity slips on data-heavy interactive widgets (e.g. decimal-price formatting, complex JS logic). It is a 4B model specialized for Chaty's workflow, not a general chat assistant.
llama.cpp:
llama-cli -m chaty-qwen3.5-4b-design-Q4_K_M.gguf -p "Design a pricing page for a meditation app."
Or load the GGUF in LM Studio, or drop it into Chaty's models folder.
Apache-2.0, inherited from the base model Qwen/Qwen3.5-4B.
3 commits