Summary
Kaiju Coder 7 by Kiyomi is an RMDW/Kiyomi business-owner coding adapter trained on reviewed, RMDW-owned or RMDW-authored examples. It is designed for practical small-business build work: websites, proposals, intake/CRM flows, Stripe/payment implementation planning, reports, ROI dashboards, automations, operator handbooks, lead generation, sales follow-up, repo patches, and Kiyomi 7.7.7 style AI-company setup packs.
The current release-candidate product path is:
Qwen3.6-27B base
-> Kaiju v1.8 LoRA adapter
-> merged full-model artifact for raw local serving
-> Kaiju system prompt
-> deterministic business-owner harnesses
-> verifier/static checks
Do not describe this package as raw weights alone producing every final artifact. The deterministic harness is part of the tested product path.
Base Model
- Base model:
Qwen/Qwen3.6-27B
- Checked upstream revision:
6a9e13bd6fc8f0983b9b99948120bc37f49c13e9
- Upstream license metadata:
apache-2.0
- Upstream license copy:
release/upstream/qwen3.6-27b/LICENSE
Attribution wording:
Kaiju Coder 7 by Kiyomi is fine-tuned from Qwen under Apache 2.0.
Do not imply endorsement by Qwen, Alibaba, or upstream authors.
Adapter
- Adapter path:
runs/qwen36-27b-lora-v1.8-business-owner/adapter
- Adapter type: LoRA / PEFT
- LoRA rank:
16
- LoRA alpha:
32
- LoRA dropout:
0.02
- Target modules:
q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_proj
- Trainable parameter count: approximately
Merged Local Artifact
- Remote merged path:
/home/richardecholsai5/kaiju-coder/models/Kaiju-Coder-Qwen3.6-27B-v1.8-merged
- Size:
51G
- Shards:
14 safetensor shards plus tokenizer/config sidecars
- Served model name:
kaiju-coder-7
- Merge script:
scripts/run-gojira-b-qwen36-lora-merge.sh
- Serving script:
scripts/start-qwen36-merged-sglang.sh
Training
- Dataset build:
datasets/build/kaiju-sft-v1.7-business-owner-oversampled.jsonl
- Reviewed candidate examples:
1,689
- SFT rows after controlled business-owner oversampling:
1,881
- Train examples:
1,769
- Eval examples:
112
- Training runtime:
11666.7564s
- Training loss:
0.9281658741335074
- Max training length:
2048
- Training config:
training/configs/qwen36-27b-lora-v1.8-business-owner.example.json
Data Provenance
Training data is source-backed and RMDW-owned or RMDW-authored. Client-site repositories are used only as generalized pattern/eval sources unless explicitly reviewed for training eligibility.
Relevant release files:
release/SOURCE_INVENTORY.mdrelease/source-inventory.jsonrelease/DATA_PROVENANCE_DRAFT.mddatasets/candidates/v1.7-rmdw-business-owner-suite.jsonl
Excluded from training:
- Raw secrets, API keys, OAuth tokens, private keys, cookies, and credentials.
- Closed-model answers from OpenAI, Anthropic, Gemini, or similar providers as supervised completions unless terms clearly allow it.
- Private client data, customer notes, contracts, raw support logs, and client-specific website copy without explicit review and consent.
Evaluation Snapshot
Local product-path evidence:
- Unit tests:
65 passing.
- Full local RC smoke: passed.
- Router hard harness:
23/23.
- Router static checks:
23/23.
- Business-suite prompts:
2/2.
- Local API harness: website and business-suite artifacts pass.
Merged serving evidence:
- Current endpoint:
http://127.0.0.1:18181/v1, forwarding to vLLM
bitsandbytes on Gojira B at http://100.109.109.14:18084/v1
- Served model:
kaiju-coder-7
- Tested context:
16384 for the current OpenCode fast path. Historical
SGLang benchmark evidence includes 32768, but 32k should be freshly
restarted and re-confirmed before being called the live default.
- Probe:
1,155 visible chars in 60.17s.
- Proposal rerun:
1/1 paid-ready, 4.0/4.0, 4,014 chars in 212.72s.
- Jah credits backend: , chars in .
Known comparison caveat:
- Dynamic SGLang LoRA serving is not release evidence for this adapter: adapter-name-only output can be base-equivalent, and corrected selector
qwen36-27b:kaiju_v18_business_owner crashes with a fused-module LoRA buffer shape mismatch.
- Do not claim raw-weight superiority until broader base-Qwen and GLM/current-production comparisons are complete.
Limitations
- Raw full-website generation has not yet passed the merged-model release sweep and should remain harness-first for paid delivery.
- The deterministic harness remains the practical paid website workflow.
- The adapter needs a strong app layer for file editing, tool use, auth, billing, rate limits, logging, and rollback.
- Public HF upload and human review are complete for testing. Real customer
paid charging still requires Stripe live-mode setup and controlled live
payment verification.
- Not intended for high-risk medical, legal, financial, or safety-critical decisions without expert review.