continuum-ai/qwen3.5-4b-code-128k-forged

32K → 128K: Context Window Extended 4x

We took Qwen3.5-4B (32K context) and extended it to 128K context via YaRN RoPE scaling — then trained it on code for 3 cycles to recover and improve quality.

Paste your entire codebase, not just one file.

Every claim on this card is verified
Trust: self-attested · 3 benchmarks · 1 device tested
ForgeAlloy chain of custody · Download alloy · Merkle-chained

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Benchmarks

Benchmark	Result	Verified
perplexity	18.7	Self-reported
humaneval	32.3	Self-reported
humaneval+	28.0	Self-reported

What Changed (Base → Forged)

	Base	Forged	Delta
Perplexity (code)	3.04	2.47	-18.7% ✅
Context Window	32,768	131,072	4x via yarn ✅
Training	General	code, 2000 steps	LR 2e-4, 3 cycles
Pipeline		context-extend → train	3 cycles

Runs On

Device	Format	Size	Speed
RTX 5090	fp16	8.4GB	~23 tok/s (verified)
MacBook Pro 32GB	fp16	8.4GB	Expected
MacBook Air 16GB	Q8_0	~4.2GB	Expected
MacBook Air 8GB	Q4_K_M	~2.6GB	Expected
iPhone / Android	Q4_K_M	~2.6GB	Expected

Quick Start

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("continuum-ai/qwen3.5-4b-code-128k-forged",
    torch_dtype="auto", device_map="auto")
tokenizer = AutoTokenizer.from_pretrained("continuum-ai/qwen3.5-4b-code-128k-forged")

inputs = tokenizer("def merge_sort(arr):", return_tensors="pt").to(model.device)
output = model.generate(**inputs, max_new_tokens=200)
print(tokenizer.decode(output[0], skip_special_tokens=True))

How It Was Made

context-extend → train (3 cycles)

• Context extension: yarn via rope_parameters (not rope_scaling — Qwen3.5 specific)
• Training data: m-a-p/CodeFeedback-Filtered-Instruction
• Hardware: RTX 5090
• Forge tool: Continuum Factory + sentinel-ai

Chain of Custody

Scan the QR or verify online. Download the alloy file to verify independently.

What	Proof
Model weights	sha256:69a41fd808bd53ddee4d17b943d8a13bd...
Code that ran	sha256:8a421f10994ecb1b5...
Git commit	a6b200cb465e
Forged on	RTX 5090, 2026-04-02T02:38:44-0500
Trust level	self-attested
Spec	ForgeAlloy — Rust/Python/TypeScript

Make Your Own

Forged with Continuum — a distributed AI world that runs on your hardware.

The Factory configurator lets you design and forge custom models visually — context extension, pruning, LoRA, quantization, vision/audio modalities. Pick your target devices, the system figures out what fits.

GitHub · All Models · Forge-Alloy

License

apache-2.0