Instructions to use Sophia-AI/Qwen3-Next-80B-A3B-Instruct-NVFP4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Sophia-AI/Qwen3-Next-80B-A3B-Instruct-NVFP4 with Transformers:

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

pipe = pipeline("text-generation", model="Sophia-AI/Qwen3-Next-80B-A3B-Instruct-NVFP4")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForMultimodalLM

tokenizer = AutoTokenizer.from_pretrained("Sophia-AI/Qwen3-Next-80B-A3B-Instruct-NVFP4")
model = AutoModelForMultimodalLM.from_pretrained("Sophia-AI/Qwen3-Next-80B-A3B-Instruct-NVFP4")
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 Settings

vLLM

How to use Sophia-AI/Qwen3-Next-80B-A3B-Instruct-NVFP4 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Sophia-AI/Qwen3-Next-80B-A3B-Instruct-NVFP4"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Sophia-AI/Qwen3-Next-80B-A3B-Instruct-NVFP4",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Sophia-AI/Qwen3-Next-80B-A3B-Instruct-NVFP4

SGLang

How to use Sophia-AI/Qwen3-Next-80B-A3B-Instruct-NVFP4 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 "Sophia-AI/Qwen3-Next-80B-A3B-Instruct-NVFP4" \
    --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": "Sophia-AI/Qwen3-Next-80B-A3B-Instruct-NVFP4",
		"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 "Sophia-AI/Qwen3-Next-80B-A3B-Instruct-NVFP4" \
        --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": "Sophia-AI/Qwen3-Next-80B-A3B-Instruct-NVFP4",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Sophia-AI/Qwen3-Next-80B-A3B-Instruct-NVFP4 with Docker Model Runner:
```
docker model run hf.co/Sophia-AI/Qwen3-Next-80B-A3B-Instruct-NVFP4
```

MwSpace commited on Feb 20

Commit

572d310

verified ·

1 Parent(s): e5981da

Upload folder using huggingface_hub

Browse files

Files changed (23) hide show

.gitattributes +2 -0
added_tokens.json +28 -0
chat_template.jinja +61 -0
config.json +397 -0
generation_config.json +13 -0
merges.txt +0 -0
model-00001-of-00010.safetensors +3 -0
model-00002-of-00010.safetensors +3 -0
model-00003-of-00010.safetensors +3 -0
model-00004-of-00010.safetensors +3 -0
model-00005-of-00010.safetensors +3 -0
model-00006-of-00010.safetensors +3 -0
model-00007-of-00010.safetensors +3 -0
model-00008-of-00010.safetensors +3 -0
model-00009-of-00010.safetensors +3 -0
model-00010-of-00010.safetensors +3 -0
model.safetensors.index.json +3 -0
quantize_meta.json +22 -0
recipe.yaml +150 -0
special_tokens_map.json +31 -0
tokenizer.json +3 -0
tokenizer_config.json +239 -0
vocab.json +0 -0

.gitattributes CHANGED Viewed

@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+model.safetensors.index.json filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

added_tokens.json ADDED Viewed

	@@ -0,0 +1,28 @@

+{
+  "</think>": 151668,
+  "</tool_call>": 151658,
+  "</tool_response>": 151666,
+  "<think>": 151667,
+  "<tool_call>": 151657,
+  "<tool_response>": 151665,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
+  "<|fim_pad|>": 151662,
+  "<|fim_prefix|>": 151659,
+  "<|fim_suffix|>": 151661,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|repo_name|>": 151663,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

chat_template.jinja ADDED Viewed

	@@ -0,0 +1,61 @@

+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {{- messages[0].content + '\n\n' }}
+    {%- endif %}
+    {{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- for message in messages %}
+    {%- if message.content is string %}
+        {%- set content = message.content %}
+    {%- else %}
+        {%- set content = '' %}
+    {%- endif %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
+        {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- if message.tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if (loop.first and content) or (not loop.first) %}
+                    {{- '\n' }}
+                {%- endif %}
+                {%- if tool_call.function %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {{- '<tool_call>\n{"name": "' }}
+                {{- tool_call.name }}
+                {{- '", "arguments": ' }}
+                {%- if tool_call.arguments is string %}
+                    {{- tool_call.arguments }}
+                {%- else %}
+                    {{- tool_call.arguments | tojson }}
+                {%- endif %}
+                {{- '}\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+{%- endif %}

config.json ADDED Viewed

	@@ -0,0 +1,397 @@

+{
+  "architectures": [
+    "Qwen3NextForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "decoder_sparse_step": 1,
+  "dtype": "bfloat16",
+  "eos_token_id": 151645,
+  "full_attention_interval": 4,
+  "head_dim": 256,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 5120,
+  "layer_types": [
+    "linear_attention",
+    "linear_attention",
+    "linear_attention",
+    "full_attention",
+    "linear_attention",
+    "linear_attention",
+    "linear_attention",
+    "full_attention",
+    "linear_attention",
+    "linear_attention",
+    "linear_attention",
+    "full_attention",
+    "linear_attention",
+    "linear_attention",
+    "linear_attention",
+    "full_attention",
+    "linear_attention",
+    "linear_attention",
+    "linear_attention",
+    "full_attention",
+    "linear_attention",
+    "linear_attention",
+    "linear_attention",
+    "full_attention",
+    "linear_attention",
+    "linear_attention",
+    "linear_attention",
+    "full_attention",
+    "linear_attention",
+    "linear_attention",
+    "linear_attention",
+    "full_attention",
+    "linear_attention",
+    "linear_attention",
+    "linear_attention",
+    "full_attention",
+    "linear_attention",
+    "linear_attention",
+    "linear_attention",
+    "full_attention",
+    "linear_attention",
+    "linear_attention",
+    "linear_attention",
+    "full_attention",
+    "linear_attention",
+    "linear_attention",
+    "linear_attention",
+    "full_attention"
+  ],
+  "linear_conv_kernel_dim": 4,
+  "linear_key_head_dim": 128,
+  "linear_num_key_heads": 16,
+  "linear_num_value_heads": 32,
+  "linear_value_head_dim": 128,
+  "max_position_embeddings": 262144,
+  "mlp_only_layers": [],
+  "model_type": "qwen3_next",
+  "moe_intermediate_size": 512,
+  "norm_topk_prob": true,
+  "num_attention_heads": 16,
+  "num_experts": 512,
+  "num_experts_per_tok": 10,
+  "num_hidden_layers": 48,
+  "num_key_value_heads": 2,
+  "output_router_logits": false,
+  "partial_rotary_factor": 0.25,
+  "quantization_config": {
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+          "dynamic": false,
+          "group_size": 16,
+          "num_bits": 4,
+          "observer": "static_minmax",
+          "observer_kwargs": {},
+          "scale_dtype": "torch.float8_e4m3fn",
+          "strategy": "tensor_group",
+          "symmetric": true,
+          "type": "float",
+          "zp_dtype": null
+        }
+      }
+    },
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+default_stage:
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+        model.layers.40.linear_attn.norm, model.layers.40.linear_attn.out_proj, model.layers.40.mlp.gate,
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+        model.layers.41.linear_attn.conv1d, model.layers.41.linear_attn.in_proj_ba, model.layers.41.linear_attn.in_proj_qkvz,
+        model.layers.41.linear_attn.norm, model.layers.41.linear_attn.out_proj, model.layers.41.mlp.gate,
+        model.layers.41.mlp.shared_expert_gate, model.layers.42.linear_attn, model.layers.42.linear_attn.act,
+        model.layers.42.linear_attn.conv1d, model.layers.42.linear_attn.in_proj_ba, model.layers.42.linear_attn.in_proj_qkvz,
+        model.layers.42.linear_attn.norm, model.layers.42.linear_attn.out_proj, model.layers.42.mlp.gate,
+        model.layers.42.mlp.shared_expert_gate, model.layers.43.mlp.gate, model.layers.43.mlp.shared_expert_gate,
+        model.layers.43.self_attn.k_proj, model.layers.43.self_attn.q_proj, model.layers.43.self_attn.v_proj,
+        model.layers.44.linear_attn, model.layers.44.linear_attn.act, model.layers.44.linear_attn.conv1d,
+        model.layers.44.linear_attn.in_proj_ba, model.layers.44.linear_attn.in_proj_qkvz,
+        model.layers.44.linear_attn.norm, model.layers.44.linear_attn.out_proj, model.layers.44.mlp.gate,
+        model.layers.44.mlp.shared_expert_gate, model.layers.45.linear_attn, model.layers.45.linear_attn.act,
+        model.layers.45.linear_attn.conv1d, model.layers.45.linear_attn.in_proj_ba, model.layers.45.linear_attn.in_proj_qkvz,
+        model.layers.45.linear_attn.norm, model.layers.45.linear_attn.out_proj, model.layers.45.mlp.gate,
+        model.layers.45.mlp.shared_expert_gate, model.layers.46.linear_attn, model.layers.46.linear_attn.act,
+        model.layers.46.linear_attn.conv1d, model.layers.46.linear_attn.in_proj_ba, model.layers.46.linear_attn.in_proj_qkvz,
+        model.layers.46.linear_attn.norm, model.layers.46.linear_attn.out_proj, model.layers.46.mlp.gate,
+        model.layers.46.mlp.shared_expert_gate, model.layers.47.mlp.gate, model.layers.47.mlp.shared_expert_gate,
+        model.layers.47.self_attn.k_proj, model.layers.47.self_attn.q_proj, model.layers.47.self_attn.v_proj,
+        model.layers.5.linear_attn, model.layers.5.linear_attn.act, model.layers.5.linear_attn.conv1d,
+        model.layers.5.linear_attn.in_proj_ba, model.layers.5.linear_attn.in_proj_qkvz, model.layers.5.linear_attn.norm,
+        model.layers.5.linear_attn.out_proj, model.layers.5.mlp.gate, model.layers.5.mlp.shared_expert_gate,
+        model.layers.6.linear_attn, model.layers.6.linear_attn.act, model.layers.6.linear_attn.conv1d,
+        model.layers.6.linear_attn.in_proj_ba, model.layers.6.linear_attn.in_proj_qkvz, model.layers.6.linear_attn.norm,
+        model.layers.6.linear_attn.out_proj, model.layers.6.mlp.gate, model.layers.6.mlp.shared_expert_gate,
+        model.layers.7.mlp.gate, model.layers.7.mlp.shared_expert_gate, model.layers.7.self_attn.k_proj,
+        model.layers.7.self_attn.q_proj, model.layers.7.self_attn.v_proj, model.layers.8.linear_attn,
+        model.layers.8.linear_attn.act, model.layers.8.linear_attn.conv1d, model.layers.8.linear_attn.in_proj_ba,
+        model.layers.8.linear_attn.in_proj_qkvz, model.layers.8.linear_attn.norm, model.layers.8.linear_attn.out_proj,
+        model.layers.8.mlp.gate, model.layers.8.mlp.shared_expert_gate, model.layers.9.linear_attn,
+        model.layers.9.linear_attn.act, model.layers.9.linear_attn.conv1d, model.layers.9.linear_attn.in_proj_ba,
+        model.layers.9.linear_attn.in_proj_qkvz, model.layers.9.linear_attn.norm, model.layers.9.linear_attn.out_proj,
+        model.layers.9.mlp.gate, model.layers.9.mlp.shared_expert_gate]
+      scheme: NVFP4
+      kv_cache_scheme:
+        num_bits: 8
+        type: float
+        symmetric: true
+        group_size: null
+        strategy: tensor
+        block_structure: null
+        dynamic: false
+        actorder: null
+        scale_dtype: null
+        zp_dtype: null
+        observer: minmax
+        observer_kwargs: {}

special_tokens_map.json ADDED Viewed

	@@ -0,0 +1,31 @@

+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
+size 11422654

tokenizer_config.json ADDED Viewed

	@@ -0,0 +1,239 @@

+{
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+  "add_prefix_space": false,
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+      "special": true
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+    "151647": {
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+    "151648": {
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+    },
+    "151652": {
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+      "normalized": false,
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+    "151655": {
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+    "151657": {
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+    "<|video_pad|>"
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+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
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+  "model_max_length": 1010000,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
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+}

vocab.json ADDED Viewed

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