Image-Text-to-Text
MLX
Safetensors
deepseek_v41
gbx-lm
apple-silicon
mixture-of-experts
4-bit precision
expert-paging
fp8
Instructions to use GreenBitAI/DeepSeek-V4.1-Flash-4bit-paged with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use GreenBitAI/DeepSeek-V4.1-Flash-4bit-paged 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("GreenBitAI/DeepSeek-V4.1-Flash-4bit-paged") config = load_config("GreenBitAI/DeepSeek-V4.1-Flash-4bit-paged") # 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
- Atomic Chat
Download mtp/mtp_quantization.json from GreenBitAI/DeepSeek-V4.1-Flash-4bit-paged: direct link, hf CLI and curl.
- Browser
- Download file 2.34 kB
-
https://huggingface.co/GreenBitAI/DeepSeek-V4.1-Flash-4bit-paged/resolve/main/mtp/mtp_quantization.json
- Command line
-
hf download hf://GreenBitAI/DeepSeek-V4.1-Flash-4bit-paged/mtp/mtp_quantization.json
-
curl -L -o mtp_quantization.json https://huggingface.co/GreenBitAI/DeepSeek-V4.1-Flash-4bit-paged/resolve/main/mtp/mtp_quantization.json
2.34 kB
| { | |
| "group_size": 64, | |
| "bits": 8, | |
| "expert_bits": 4, | |
| "modules": { | |
| "mtp.0.ffn.shared_experts.w3": { | |
| "group_size": 64, | |
| "bits": 8 | |
| }, | |
| "mtp.0.ffn.shared_experts.w2": { | |
| "group_size": 64, | |
| "bits": 8 | |
| }, | |
| "mtp.0.ffn.shared_experts.w1": { | |
| "group_size": 64, | |
| "bits": 8 | |
| }, | |
| "mtp.0.attn.wo_b": { | |
| "group_size": 64, | |
| "bits": 8 | |
| }, | |
| "mtp.0.main_proj": { | |
| "group_size": 64, | |
| "bits": 8 | |
| }, | |
| "mtp.0.attn.wq_b": { | |
| "group_size": 64, | |
| "bits": 8 | |
| }, | |
| "mtp.0.attn.wq_a": { | |
| "group_size": 64, | |
| "bits": 8 | |
| }, | |
| "mtp.0.attn.wkv": { | |
| "group_size": 64, | |
| "bits": 8 | |
| }, | |
| "mtp.0.ffn.experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "mtp.0.ffn.experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "mtp.0.ffn.experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "mtp.1.ffn.shared_experts.w2": { | |
| "group_size": 64, | |
| "bits": 8 | |
| }, | |
| "mtp.1.ffn.shared_experts.w3": { | |
| "group_size": 64, | |
| "bits": 8 | |
| }, | |
| "mtp.1.attn.wkv": { | |
| "group_size": 64, | |
| "bits": 8 | |
| }, | |
| "mtp.1.ffn.shared_experts.w1": { | |
| "group_size": 64, | |
| "bits": 8 | |
| }, | |
| "mtp.1.attn.wo_b": { | |
| "group_size": 64, | |
| "bits": 8 | |
| }, | |
| "mtp.1.attn.wq_a": { | |
| "group_size": 64, | |
| "bits": 8 | |
| }, | |
| "mtp.1.attn.wq_b": { | |
| "group_size": 64, | |
| "bits": 8 | |
| }, | |
| "mtp.1.ffn.experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "mtp.1.ffn.experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "mtp.1.ffn.experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "mtp.2.markov_head.embed": { | |
| "group_size": 64, | |
| "bits": 8 | |
| }, | |
| "mtp.2.ffn.shared_experts.w3": { | |
| "group_size": 64, | |
| "bits": 8 | |
| }, | |
| "mtp.2.ffn.shared_experts.w1": { | |
| "group_size": 64, | |
| "bits": 8 | |
| }, | |
| "mtp.2.attn.wkv": { | |
| "group_size": 64, | |
| "bits": 8 | |
| }, | |
| "mtp.2.attn.wq_b": { | |
| "group_size": 64, | |
| "bits": 8 | |
| }, | |
| "mtp.2.ffn.shared_experts.w2": { | |
| "group_size": 64, | |
| "bits": 8 | |
| }, | |
| "mtp.2.attn.wq_a": { | |
| "group_size": 64, | |
| "bits": 8 | |
| }, | |
| "mtp.2.markov_head.head": { | |
| "group_size": 64, | |
| "bits": 8 | |
| }, | |
| "mtp.2.attn.wo_b": { | |
| "group_size": 64, | |
| "bits": 8 | |
| }, | |
| "mtp.2.ffn.experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "mtp.2.ffn.experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "mtp.2.ffn.experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| } | |
| } | |
| } |