Instructions to use FlyCockpit/DeepSeek-V4-Flash-0731-vision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use FlyCockpit/DeepSeek-V4-Flash-0731-vision with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-text-to-text", model="FlyCockpit/DeepSeek-V4-Flash-0731-vision")

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("FlyCockpit/DeepSeek-V4-Flash-0731-vision", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use FlyCockpit/DeepSeek-V4-Flash-0731-vision with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "FlyCockpit/DeepSeek-V4-Flash-0731-vision"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "FlyCockpit/DeepSeek-V4-Flash-0731-vision",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/FlyCockpit/DeepSeek-V4-Flash-0731-vision

SGLang

How to use FlyCockpit/DeepSeek-V4-Flash-0731-vision with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "FlyCockpit/DeepSeek-V4-Flash-0731-vision" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "FlyCockpit/DeepSeek-V4-Flash-0731-vision",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "FlyCockpit/DeepSeek-V4-Flash-0731-vision" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "FlyCockpit/DeepSeek-V4-Flash-0731-vision",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use FlyCockpit/DeepSeek-V4-Flash-0731-vision with Docker Model Runner:
```
docker model run hf.co/FlyCockpit/DeepSeek-V4-Flash-0731-vision
```

christopher-kapic commited on 28 days ago

Commit

d8efc7d

verified ·

1 Parent(s): 34fbe01

Fix HF markdown strikethrough from approximate ~ sizes

Browse files

Files changed (1) hide show

README.md +8 -8

README.md CHANGED Viewed

@@ -21,8 +21,8 @@ pipeline_tag: image-text-to-text
   <a href="https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-0731">DeepSeek-V4-Flash-0731</a>.
 </p>
-This repo is **only the vision stack** (~900 MB total). The language model
-itself is still the upstream 0731 FP8 checkpoint (~167 GB).
 ```text
 image  →  DeepEncoderV2 tower  →  projector  →  splice at token 129279
@@ -54,16 +54,16 @@ hf download FlyCockpit/DeepSeek-V4-Flash-0731-vision \
 | path | what | size | md5 |
 |---|---|---:|---|
-| `adapter/latest.pt` | **use this** — final projector | 40 MB | `d9b3b3bda8f790ecf7cd5a98e6fb93a5` |
-| `adapter/merged-004800-5af0c5.pt` | same bytes (named by step) | 40 MB | `d9b3b3bda8f790ecf7cd5a98e6fb93a5` |
-| `tower/deepencoder_v2_tower.safetensors` | frozen image tower | 865 MB | `2d5dba626d816cc367d28b32e744830e` |
 | `config.json` | release metadata | tiny | — |
 Final training step: **4800**. Layout: **tiles=2** (257 / 769 / 1281 image tokens).
 ---
-## What it’s for
 | Strength | Notes |
 |---|---|
@@ -73,14 +73,14 @@ Final training step: **4800**. Layout: **tiles=2** (257 / 769 / 1281 image token
 | Click agents on arbitrary real UIs | **Not claimed** — see below |
 Synthetic GUI coordinate probes pass; real-page computer-use does **not**
-transfer cleanly yet. Full write-up lives in the playbook’s
 [capabilities doc](https://github.com/FlyCockpit/DeepSeek-V4-Vision-2x-DGX-Sparks/blob/main/docs/CAPABILITIES.md).
 ---
 ## Compatibility (important)
-This encoder maps into **0731’s embedding space**.
 | base weights | works? |
 |---|---|

   <a href="https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-0731">DeepSeek-V4-Flash-0731</a>.
 </p>
+This repo is **only the vision stack** (about 900 MB total). The language model
+itself is still the upstream 0731 FP8 checkpoint (about 167 GB).
 ```text
 image  →  DeepEncoderV2 tower  →  projector  →  splice at token 129279
 | path | what | size | md5 |
 |---|---|---:|---|
+| `adapter/latest.pt` | **use this** — final projector | 40 MB | `d9b3b3bda8f790ecf7cd5a98e6fb93a5` |
+| `adapter/merged-004800-5af0c5.pt` | same bytes (named by step) | 40 MB | `d9b3b3bda8f790ecf7cd5a98e6fb93a5` |
+| `tower/deepencoder_v2_tower.safetensors` | frozen image tower | 865 MB | `2d5dba626d816cc367d28b32e744830e` |
 | `config.json` | release metadata | tiny | — |
 Final training step: **4800**. Layout: **tiles=2** (257 / 769 / 1281 image tokens).
 ---
+## What it's for
 | Strength | Notes |
 |---|---|
 | Click agents on arbitrary real UIs | **Not claimed** — see below |
 Synthetic GUI coordinate probes pass; real-page computer-use does **not**
+transfer cleanly yet. Full write-up lives in the playbook's
 [capabilities doc](https://github.com/FlyCockpit/DeepSeek-V4-Vision-2x-DGX-Sparks/blob/main/docs/CAPABILITIES.md).
 ---
 ## Compatibility (important)
+This encoder maps into **0731's embedding space**.
 | base weights | works? |
 |---|---|