Instructions to use FastFlowLM/Deepseek-R1-Distill-Llama-8B-NPU2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use FastFlowLM/Deepseek-R1-Distill-Llama-8B-NPU2 with Transformers:

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

pipe = pipeline("text-generation", model="FastFlowLM/Deepseek-R1-Distill-Llama-8B-NPU2")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("FastFlowLM/Deepseek-R1-Distill-Llama-8B-NPU2")
model = AutoModelForCausalLM.from_pretrained("FastFlowLM/Deepseek-R1-Distill-Llama-8B-NPU2")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use FastFlowLM/Deepseek-R1-Distill-Llama-8B-NPU2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "FastFlowLM/Deepseek-R1-Distill-Llama-8B-NPU2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "FastFlowLM/Deepseek-R1-Distill-Llama-8B-NPU2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/FastFlowLM/Deepseek-R1-Distill-Llama-8B-NPU2

SGLang

How to use FastFlowLM/Deepseek-R1-Distill-Llama-8B-NPU2 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 "FastFlowLM/Deepseek-R1-Distill-Llama-8B-NPU2" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "FastFlowLM/Deepseek-R1-Distill-Llama-8B-NPU2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "FastFlowLM/Deepseek-R1-Distill-Llama-8B-NPU2" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "FastFlowLM/Deepseek-R1-Distill-Llama-8B-NPU2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use FastFlowLM/Deepseek-R1-Distill-Llama-8B-NPU2 with Docker Model Runner:
```
docker model run hf.co/FastFlowLM/Deepseek-R1-Distill-Llama-8B-NPU2
```

AlfredXu2 commited on Nov 22, 2025

Commit

c49fa14

1 Parent(s): deca786

feat: merge lm head

Browse files

Files changed (7) hide show

.gitattributes +2 -6
config.json +1 -1
dequant.xclbin +2 -2
layer.xclbin +2 -2
lm_head.xclbin +0 -3
model.q4nx +2 -2
tokenizer.json +2 -2

.gitattributes CHANGED Viewed

@@ -1,7 +1,3 @@
-model.q4nx filter=lfs diff=lfs merge=lfs -text
 tokenizer.json filter=lfs diff=lfs merge=lfs -text
-layer.xclbin filter=lfs diff=lfs merge=lfs -text
-lm_head.xclbin filter=lfs diff=lfs merge=lfs -text
-attn.xclbin filter=lfs diff=lfs merge=lfs -text
-dequant.xclbin filter=lfs diff=lfs merge=lfs -text
-mm.xclbin filter=lfs diff=lfs merge=lfs -text

+*.q4nx filter=lfs diff=lfs merge=lfs -text
 tokenizer.json filter=lfs diff=lfs merge=lfs -text
+*.xclbin filter=lfs diff=lfs merge=lfs -text

config.json CHANGED Viewed

@@ -37,5 +37,5 @@
   "addr_l_begin_mha": 54272,
   "addr_l_end_mha": 25600,
   "addr_kk": 45056,
-  "flm_version": "0.1.8"
 }

   "addr_l_begin_mha": 54272,
   "addr_l_end_mha": 25600,
   "addr_kk": 45056,
+  "flm_version": "0.9.21"
 }

dequant.xclbin CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:171e48055c262c07e7232be872e1a7a4ae92a1158ab8a1d455bb4d61c2a7fd3c
-size 115691

 version https://git-lfs.github.com/spec/v1
+oid sha256:ef2c9238930cebf503303b3d12f6ac6119f6c8c2b7b83796008404e007224094
+size 121115

layer.xclbin CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:da989ed295cbd49c07b185ba99ab867da07eff6cc44bc8f9f452b0b0ff0389bd
-size 331659

 version https://git-lfs.github.com/spec/v1
+oid sha256:5da50779ddd8d208d225e238c2e3d239d3b4a2c644b1ed7ed251a9cc7f136f6b
+size 445275

lm_head.xclbin DELETED Viewed

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:6d2ebc16daf6a75e4bdefa499fccccc2bafd7c122bf4a1c3e73d66e8538f592d
-size 152843

model.q4nx CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:73ab73ab822f24b7b2d234054c9a2495d82ba9dbc9ac0c75db4dad0e6be99744
-size 5741682654

 version https://git-lfs.github.com/spec/v1
+oid sha256:d98b2b5f4482f018ec4e0855afd46d5234f479d834e467f57a1e5930755f5196
+size 5741650592

tokenizer.json CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d91915040cfac999d8c55f4b5bc6e67367c065e3a7a4e4b9438ce1f256addd86
-size 17209530

 version https://git-lfs.github.com/spec/v1
+oid sha256:17c03905a8743bd7a67f0eda73a92d2905c128760f4b568b1be23d6471234b05
+size 9043879