Text Generation
MLX
Safetensors
GGUF
Rust
qwen3_5_text
4b
agentic-coding
android
apple-silicon
attested
bash
c
chain-of-custody
chinese
code
code-completion
code-generation
code-infill
coder
coding
consumer-gpu
cpp
cryptographically-verified
css
delta-forge
edge-inference
embedded
english
forge-alloy
function-calling
ggml
go
html
iphone
java
javascript
kotlin
llama-cpp
lm-studio
local-inference
macbook
mobile
multilingual
ollama
on-device
php
programming
python
q4-k-m
quantized
qwen
qwen3
qwen3.5
raspberry-pi
reproducible
ruby
software-engineering
sql
swift
typescript
Instructions to use continuum-ai/qwen3.5-4b-code-forged with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use continuum-ai/qwen3.5-4b-code-forged with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # if on a CUDA device, also pip install mlx[cuda] # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("continuum-ai/qwen3.5-4b-code-forged") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- MLX LM
How to use continuum-ai/qwen3.5-4b-code-forged with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "continuum-ai/qwen3.5-4b-code-forged" --prompt "Once upon a time"
- Atomic Chat
Download forging_results.json from continuum-ai/qwen3.5-4b-code-forged: direct link, hf CLI and curl.
- Browser
- Download file 549 Bytes
-
https://huggingface.co/continuum-ai/qwen3.5-4b-code-forged/resolve/main/forging_results.json
- Command line
-
hf download hf://continuum-ai/qwen3.5-4b-code-forged/forging_results.json
-
curl -L -o forging_results.json https://huggingface.co/continuum-ai/qwen3.5-4b-code-forged/resolve/main/forging_results.json
549 Bytes
| { | |
| "model": "Qwen/Qwen3.5-4B", | |
| "domain": "code", | |
| "baseline_ppl": 3.0382, | |
| "final_ppl": 2.3487, | |
| "improvement_pct": 22.7, | |
| "forged_at": "2026-03-31T12:13:43-0500", | |
| "device": "NVIDIA GeForce RTX 5090", | |
| "tier": "A", | |
| "cycles": 3, | |
| "stages": [ | |
| "train", | |
| "quant", | |
| "eval" | |
| ], | |
| "training_data": "wikitext-2", | |
| "hardware_targets": [ | |
| { | |
| "device": "MacBook Pro 16GB", | |
| "format": "fp16", | |
| "verified": true | |
| }, | |
| { | |
| "device": "MacBook Pro 32GB", | |
| "format": "fp16", | |
| "verified": true | |
| } | |
| ] | |
| } |