---
base_model: mlx-community/Qwen3.6-35B-A3B-4bit
library_name: mlx
pipeline_tag: text-generation
tags:
- lora
- mlx
- effect-ts
- typescript
- code-generation
license: apache-2.0
---

# effect-qwen36-35b-write-lora — Effect v4 TypeScript champion LoRA (`v7s43_i200`)

Rank-8 LoRA adapter on **`mlx-community/Qwen3.6-35B-A3B-4bit`** that writes idiomatic
**Effect v4** (`effect@4.0.0-beta.8x`) TypeScript: `Context.Service`/`Layer` services,
`Effect.gen` pipelines, `Schema`, `Data.TaggedError`, and typed-error seams — verified by a
best-of-N + TypeScript-compiler product harness, not by eyeballing.

## Result — the served PRODUCT (not raw greedy)
- **best-of-16 + tsc gate: 23/24** on a frozen held-out set. This is the deliverable metric.
- Judged on the served product pipeline (sample N → import-resolver → `tsc --strict`), **never
  raw single-greedy**: raw greedy is ceiling-blocked at ~9.67/24; the compiler verifier is what
  lifts it to 23/24. (A perfect 0/1 verifier means a returned "compiles" is genuinely verified.)

## Adapter
- LoRA: rank 8, scale 20, dropout 0, 16 layers; lr 1e-5; warm-started from a continued-pretrain
  adapter. Apply **unfused** on top of the 4-bit base.
- `adapters.safetensors` = 1,025,848,752 bytes (the byte-intact champion).

## Use (MLX)
```bash
python -m mlx_lm generate \
  --model mlx-community/Qwen3.6-35B-A3B-4bit \
  --adapter-path . \
  --prompt "Write an Effect service that fetches a user by id over HTTP, with a typed NotFound error."
```
For the actual deliverable, serve it behind a best-of-N + `tsc` gate (the raw adapter alone is not
the product). The same champion also serves a surgical **EDIT** lane (best-of-N SEARCH/REPLACE →
apply → `tsc` gate), tsc-verified.

## Related
- Fused full model: `jrad123777/effect-qwen36-35b-mlx` · GGUF: `jrad123777/effect-qwen36-35b-gguf`
- Companion React+seam LoRA: `jrad123777/effect-qwen36-35b-react-lora`