Instructions to use z-lab/Qwen3.6-35B-A3B-DFlash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use z-lab/Qwen3.6-35B-A3B-DFlash with Transformers:

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

pipe = pipeline("text-generation", model="z-lab/Qwen3.6-35B-A3B-DFlash", trust_remote_code=True)

# Load model directly
from transformers import AutoTokenizer, AutoModel

tokenizer = AutoTokenizer.from_pretrained("z-lab/Qwen3.6-35B-A3B-DFlash", trust_remote_code=True)
model = AutoModel.from_pretrained("z-lab/Qwen3.6-35B-A3B-DFlash", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use z-lab/Qwen3.6-35B-A3B-DFlash with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "z-lab/Qwen3.6-35B-A3B-DFlash"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "z-lab/Qwen3.6-35B-A3B-DFlash",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/z-lab/Qwen3.6-35B-A3B-DFlash

SGLang

How to use z-lab/Qwen3.6-35B-A3B-DFlash 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 "z-lab/Qwen3.6-35B-A3B-DFlash" \
    --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": "z-lab/Qwen3.6-35B-A3B-DFlash",
		"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 "z-lab/Qwen3.6-35B-A3B-DFlash" \
        --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": "z-lab/Qwen3.6-35B-A3B-DFlash",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use z-lab/Qwen3.6-35B-A3B-DFlash with Docker Model Runner:
```
docker model run hf.co/z-lab/Qwen3.6-35B-A3B-DFlash
```

jianchen0311 commited on Jun 19

Commit

0ce151d

verified ·

1 Parent(s): 42d3b34

Update weights and config from Modal retrain

Browse files

Files changed (2) hide show

config.json +26 -29
model.safetensors +2 -2

config.json CHANGED Viewed

@@ -7,56 +7,53 @@
   "auto_map": {
     "AutoModel": "dflash.DFlashDraftModel"
   },
-  "block_size": 16,
   "dflash_config": {
-    "mask_token_id": 248070,
     "target_layer_ids": [
       1,
-      10,
-      19,
-      28,
       37
     ]
   },
   "dtype": "bfloat16",
-  "eos_token_id": 248046,
   "head_dim": 128,
   "hidden_act": "silu",
   "hidden_size": 2048,
   "initializer_range": 0.02,
   "intermediate_size": 6144,
   "layer_types": [
-    "full_attention",
-    "full_attention",
-    "full_attention",
-    "full_attention",
-    "full_attention",
-    "full_attention",
-    "full_attention",
     "full_attention"
   ],
   "max_position_embeddings": 262144,
-  "max_window_layers": 8,
   "model_type": "qwen3",
   "num_attention_heads": 32,
-  "num_hidden_layers": 8,
-  "num_key_value_heads": 4,
   "num_target_layers": 40,
-  "pad_token_id": 248044,
   "rms_norm_eps": 1e-06,
-  "rope_scaling": {
-    "beta_fast": 32.0,
-    "beta_slow": 1.0,
-    "factor": 64.0,
-    "original_max_position_embeddings": 4096,
-    "rope_type": "yarn",
-    "type": "yarn"
   },
-  "rope_theta": 10000000,
-  "sliding_window": null,
   "tie_word_embeddings": false,
-  "transformers_version": "4.57.1",
-  "use_cache": false,
-  "use_sliding_window": false,
   "vocab_size": 248320
 }

   "auto_map": {
     "AutoModel": "dflash.DFlashDraftModel"
   },
+  "bos_token_id": null,
   "dflash_config": {
+    "block_size": 16,
+    "mask_token_id": 248077,
     "target_layer_ids": [
       1,
+      6,
+      11,
+      16,
+      22,
+      27,
+      32,
       37
     ]
   },
   "dtype": "bfloat16",
+  "eos_token_id": 248044,
   "head_dim": 128,
   "hidden_act": "silu",
   "hidden_size": 2048,
   "initializer_range": 0.02,
   "intermediate_size": 6144,
   "layer_types": [
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
     "full_attention"
   ],
   "max_position_embeddings": 262144,
+  "max_window_layers": 6,
   "model_type": "qwen3",
   "num_attention_heads": 32,
+  "num_hidden_layers": 6,
+  "num_key_value_heads": 8,
   "num_target_layers": 40,
+  "pad_token_id": null,
   "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "rope_theta": 10000000,
+    "rope_type": "default"
   },
+  "sliding_window": 4096,
   "tie_word_embeddings": false,
+  "transformers_version": "5.7.0",
+  "use_cache": true,
+  "use_sliding_window": true,
   "vocab_size": 248320
 }

model.safetensors CHANGED Viewed

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