Image-Text-to-Text
MLX
Safetensors
qwen3_5
omlx
oq
quantized
8-bit precision
qwen3.5
mtp
vision
conversational
Instructions to use dylpickle13/Qwen3.5-2B-oQ8-mtp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use dylpickle13/Qwen3.5-2B-oQ8-mtp with MLX:
# Make sure mlx-vlm is installed # pip install --upgrade mlx-vlm from mlx_vlm import load, generate from mlx_vlm.prompt_utils import apply_chat_template from mlx_vlm.utils import load_config # Load the model model, processor = load("dylpickle13/Qwen3.5-2B-oQ8-mtp") config = load_config("dylpickle13/Qwen3.5-2B-oQ8-mtp") # Prepare input image = ["http://images.cocodataset.org/val2017/000000039769.jpg"] prompt = "Describe this image." # Apply chat template formatted_prompt = apply_chat_template( processor, config, prompt, num_images=1 ) # Generate output output = generate(model, processor, formatted_prompt, image) print(output) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Pi
How to use dylpickle13/Qwen3.5-2B-oQ8-mtp with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "dylpickle13/Qwen3.5-2B-oQ8-mtp"
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "mlx-lm": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "dylpickle13/Qwen3.5-2B-oQ8-mtp" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent
How to use dylpickle13/Qwen3.5-2B-oQ8-mtp with Hermes Agent:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "dylpickle13/Qwen3.5-2B-oQ8-mtp"
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default dylpickle13/Qwen3.5-2B-oQ8-mtp
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use dylpickle13/Qwen3.5-2B-oQ8-mtp with OpenClaw:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "dylpickle13/Qwen3.5-2B-oQ8-mtp"
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "dylpickle13/Qwen3.5-2B-oQ8-mtp" \ --custom-provider-id mlx-lm \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
File size: 3,375 Bytes
1820754 9587008 1820754 9587008 1820754 941eccb 1820754 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 | # Publish Check: Qwen3.5-2B-oQ8-mtp
## Model
- Published repo: [`dylpickle13/Qwen3.5-2B-oQ8-mtp`](https://huggingface.co/dylpickle13/Qwen3.5-2B-oQ8-mtp)
- Base model: [`Qwen/Qwen3.5-2B`](https://huggingface.co/Qwen/Qwen3.5-2B)
- Base revision: `15852e8c16360a2fea060d615a32b45270f8a8fc`
- License: Apache-2.0
- Runtime target: oMLX / MLX
- Quantization/conversion: oMLX/oQ level 8, affine 8-bit, group size 64, bfloat16 preserved tensors, `text_only=false`, `preserve_mtp=true`
## Local artifact verification
- Local source path: `/Users/dylanrapanan/.omlx/models/Qwen3.5-2B-oQ8-mtp`
- Required files present: PASS after adding upstream `LICENSE`
- `model.safetensors` size: `2,735,417,896` bytes
- safetensors metadata: `{"format": "mlx"}`
- tensor count: `1020`
- MTP tensor count: `29`
- vision tensor count: `297`
- oMLX discovery before upload: `model_type=vlm`, `mtp_compatible=true`
## Local oMLX smoke tests
- oMLX server/version: local oMLX server; `mlx-lm 0.31.3`, `mlx-vlm 0.5.0`
- loaded model name: `Qwen3.5-2B-oQ8-mtp`
- text smoke test: PASS — prompt `Reply with exactly OK.` returned `OK`
- image smoke test: PASS — generated red square returned `red`
- notes: low-latency camera profile applied with 8192 context, 512 max tokens, thinking disabled, `mtp_enabled=true`, `vlm_mtp_enabled=false`
## Private Hugging Face upload
- private repo created: PASS
- uploaded repo: [`dylpickle13/Qwen3.5-2B-oQ8-mtp`](https://huggingface.co/dylpickle13/Qwen3.5-2B-oQ8-mtp)
- initial private upload commit: `e5394295ebc0195d3944cc416d56c7a1d8de4b3d`
- license-added private commit: `65e35d8d606f85dd1c1f45f88b2035ab7ea7a474`
- uploaded files:
- `.gitattributes`
- `README.md`
- `LICENSE`
- `chat_template.jinja`
- `config.json`
- `merges.txt`
- `model.safetensors`
- `preprocessor_config.json`
- `tokenizer.json`
- `tokenizer_config.json`
- `vocab.json`
## Clean-download verification
- clean download path: `projects/omlx/quant-publisher/downloads/Qwen3.5-2B-oQ8-mtp-hf-clean`
- file list verified: PASS
- safetensors opens: PASS
- tensor counts match: PASS
- clean download tensor count: `1020`
- clean download MTP tensor count: `29`
- clean download vision tensor count: `297`
- oMLX clean load: PASS — local oMLX copy was deleted, then re-downloaded from the private Hugging Face repo, discovered, loaded, and tested
- text smoke test: PASS — `OK`
- image smoke test: PASS — `red`
## Public release
- repo made public: PASS
- anonymous access verified: PASS — public API and raw README returned HTTP 200
- final public URL: <https://huggingface.co/dylpickle13/Qwen3.5-2B-oQ8-mtp>
- public release commit verified: `18207548b8ce5bc8d699d35cbe9dcf73d0bbd056`
- final verification note: this `PUBLISH_CHECK.md` was updated after public release, so the repository latest commit may be newer than the public release commit above.
## Backup
- Google Drive backup: NA for this run unless requested separately
- backup folder URL: NA
- checksum notes: safetensors metadata and tensor counts recorded above
## Cleanup
- old local `Qwen3.5-0.8B-oQ8-mtp` removed from oMLX: PASS
- temporary base source `Qwen/Qwen3.5-2B` removed from oMLX: PASS
- clean download removed: PASS
- local project copy removed or retained intentionally: weights kept only under ignored `downloads/` temporarily for verification; no weights committed
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