CrowQwen3.5 4B Agent Heretic
Collection
CrowQwen3.5 4B Agent Heretic artifacts. • 3 items • Updated • 2
How to use dawncr0w/crowqwen3.5-4b-agent-heretic-mlx-oq 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("dawncr0w/crowqwen3.5-4b-agent-heretic-mlx-oq")
prompt = "Once upon a time in"
text = generate(model, tokenizer, prompt=prompt, verbose=True)How to use dawncr0w/crowqwen3.5-4b-agent-heretic-mlx-oq with MLX LM:
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "dawncr0w/crowqwen3.5-4b-agent-heretic-mlx-oq" --prompt "Once upon a time"
Apple Silicon oQ builds for a compact Qwen3.5 coding and agent assistant.
Collection · GGUF
CrowQwen3.5 starts from Qwen/Qwen3.5-4B and is tuned toward local assistant work: coding notes, refactor plans, bug triage, shell-oriented workflows, and bilingual technical prompts.
| Goal | Recommended |
|---|---|
| Balanced default | oQ4 |
| More fidelity | oQ5, oQ6, oQ8 |
| Smaller local runs | oQ2.7, oQ3, oQ3.5 |
| Extra compact choices | oQ2, oQ2.5 |
Start with oQ4 if you are unsure.
huggingface-cli download \
dawncr0w/crowqwen3.5-4b-agent-heretic-mlx-oq \
--include "crowqwen3.5-4b-agent-heretic-oQ4/*" \
--local-dir crowqwen-mlx-oq
from mlx_lm import load, generate
model, tokenizer = load("crowqwen-mlx-oq/crowqwen3.5-4b-agent-heretic-oQ4")
prompt = tokenizer.apply_chat_template(
[{"role": "user", "content": "Draft a short CLI refactor plan."}],
tokenize=False,
add_generation_prompt=True,
)
print(generate(model, tokenizer, prompt=prompt, max_tokens=160))
| Variant | Size | Smoke |
|---|---|---|
oQ2 |
3.10 GiB | passed |
oQ2.5 |
3.21 GiB | passed |
oQ2.7 |
3.37 GiB | passed |
oQ3 |
3.44 GiB | passed |
oQ3.5 |
3.54 GiB | passed |
oQ4 |
3.87 GiB | passed |
oQ5 |
4.33 GiB | passed |
oQ6 |
4.76 GiB | passed |
oQ8 |
5.66 GiB | passed |
BUILD_MANIFEST.json has the build and smoke details.
Smoke checks verify local loading and short generation only. No benchmark scores are claimed.
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