Image-Text-to-Text
Transformers
Safetensors
qwen4_exp
quantized
nvfp4
mxfp8
modelopt
multimodal
conversational
8-bit precision
Instructions to use btbtyler09/Qwen3.8-Flash-Next-NVFP4-LIL-PLEbf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use btbtyler09/Qwen3.8-Flash-Next-NVFP4-LIL-PLEbf16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="btbtyler09/Qwen3.8-Flash-Next-NVFP4-LIL-PLEbf16") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] pipe(text=messages)# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("btbtyler09/Qwen3.8-Flash-Next-NVFP4-LIL-PLEbf16") model = AutoModelForMultimodalLM.from_pretrained("btbtyler09/Qwen3.8-Flash-Next-NVFP4-LIL-PLEbf16", device_map="auto") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] inputs = processor.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=256) print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use btbtyler09/Qwen3.8-Flash-Next-NVFP4-LIL-PLEbf16 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "btbtyler09/Qwen3.8-Flash-Next-NVFP4-LIL-PLEbf16" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "btbtyler09/Qwen3.8-Flash-Next-NVFP4-LIL-PLEbf16", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker
docker model run hf.co/btbtyler09/Qwen3.8-Flash-Next-NVFP4-LIL-PLEbf16
- SGLang
How to use btbtyler09/Qwen3.8-Flash-Next-NVFP4-LIL-PLEbf16 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 "btbtyler09/Qwen3.8-Flash-Next-NVFP4-LIL-PLEbf16" \ --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": "btbtyler09/Qwen3.8-Flash-Next-NVFP4-LIL-PLEbf16", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'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 "btbtyler09/Qwen3.8-Flash-Next-NVFP4-LIL-PLEbf16" \ --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": "btbtyler09/Qwen3.8-Flash-Next-NVFP4-LIL-PLEbf16", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }' - Docker Model Runner
How to use btbtyler09/Qwen3.8-Flash-Next-NVFP4-LIL-PLEbf16 with Docker Model Runner:
docker model run hf.co/btbtyler09/Qwen3.8-Flash-Next-NVFP4-LIL-PLEbf16
Download config.json from btbtyler09/Qwen3.8-Flash-Next-NVFP4-LIL-PLEbf16: direct link, hf CLI and curl.
- Browser
- Download file 60.7 kB
-
https://huggingface.co/btbtyler09/Qwen3.8-Flash-Next-NVFP4-LIL-PLEbf16/resolve/main/config.json
- Command line
-
hf download hf://btbtyler09/Qwen3.8-Flash-Next-NVFP4-LIL-PLEbf16/config.json
-
curl -L -o config.json https://huggingface.co/btbtyler09/Qwen3.8-Flash-Next-NVFP4-LIL-PLEbf16/resolve/main/config.json
60.7 kB
| { | |
| "architectures": [ | |
| "Qwen4ExpForConditionalGeneration" | |
| ], | |
| "image_token_id": 248056, | |
| "language_model_only": false, | |
| "model_type": "qwen4_exp", | |
| "text_config": { | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 248044, | |
| "dtype": "bfloat16", | |
| "eos_token_id": 248044, | |
| "full_attention_interval": 4, | |
| "hc_count": 4, | |
| "hc_lowrank": 320, | |
| "head_dim": 256, | |
| "heads_per_ngram": 8, | |
| "hidden_act": "silu", | |
| "hidden_size": 2560, | |
| "indexer_budget": 2048, | |
| "indexer_compress_ratio": 4, | |
| "indexer_head_dim": 128, | |
| "indexer_kv_heads": 1, | |
| "indexer_n_heads": 4, | |
| "initializer_range": 0.02, | |
| "layer_types": [ | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention", | |
| "linear_attention", | |
| "linear_attention", | |
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| "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": 48, | |
| "linear_value_head_dim": 128, | |
| "make_ngram_vocab_size_divisible_by": 128, | |
| "mamba_ssm_dtype": "float32", | |
| "max_position_embeddings": 262144, | |
| "model_type": "qwen4_exp_text", | |
| "moe_intermediate_size": 640, | |
| "mtp": { | |
| "hybrid": true, | |
| "layer_types": [ | |
| "full_attention" | |
| ], | |
| "mtp_use_hidden_state_from_layer": null, | |
| "num_hidden_layers": 1, | |
| "rope_theta": 10000000 | |
| }, | |
| "mtp_num_hidden_layers": 1, | |
| "mtp_use_dedicated_embeddings": false, | |
| "ngram_size": 3, | |
| "ngram_vocab_size_base": 20000000, | |
| "num_attention_heads": 24, | |
| "num_experts": 512, | |
| "num_experts_per_tok": 10, | |
| "num_hidden_layers": 48, | |
| "num_key_value_heads": 2, | |
| "output_gate_type": "sigmoid", | |
| "output_router_logits": false, | |
| "pad_token_id": null, | |
| "partial_rotary_factor": 0.25, | |
| "ple_conv_kernel_size": 4, | |
| "ple_embed_dim": 2560, | |
| "ple_embedding_dtype": "bfloat16", | |
| "ple_layer_ids": [ | |
| 2 | |
| ], | |
| "rms_norm_eps": 1e-06, | |
| "rope_parameters": { | |
| "mrope_interleaved": true, | |
| "mrope_section": [ | |
| 11, | |
| 11, | |
| 10 | |
| ], | |
| "partial_rotary_factor": 0.25, | |
| "rope_theta": 10000000, | |
| "rope_type": "default" | |
| }, | |
| "router_aux_loss_coef": 0.001, | |
| "shared_expert_intermediate_size": 640, | |
| "split_ngram_parts": 128, | |
| "tie_word_embeddings": false, | |
| "use_cache": true, | |
| "vocab_size": 248320 | |
| }, | |
| "tie_word_embeddings": false, | |
| "transformers_version": "5.8.0.dev0", | |
| "video_token_id": 248057, | |
| "vision_config": { | |
| "deepstack_visual_indexes": [], | |
| "depth": 27, | |
| "hidden_act": "gelu_pytorch_tanh", | |
| "hidden_size": 1152, | |
| "in_channels": 3, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 4304, | |
| "model_type": "qwen4_exp", | |
| "num_heads": 16, | |
| "num_position_embeddings": 2304, | |
| "out_hidden_size": 2560, | |
| "patch_size": 16, | |
| "spatial_merge_size": 2, | |
| "temporal_patch_size": 2 | |
| }, | |
| "vision_end_token_id": 248054, | |
| "vision_start_token_id": 248053, | |
| "quantization_config": { | |
| "quant_method": "modelopt", | |
| "quant_algo": "MIXED_PRECISION", | |
| "kv_cache_quant_algo": null, | |
| "ignore": [ | |
| "lm_head", | |
| "model.visual.*", | |
| "mtp.fc_embedding", | |
| "mtp.fc_hidden", | |
| "mtp.pre_fc_norm_*", | |
| "mtp.hyper_connection_mixer*", | |
| "mtp.layers.0.self_attn*", | |
| "mtp.layers.0.attn_hyper_connection*", | |
| "mtp.layers.0.mlp_hyper_connection*", | |
| "mtp.layers.0.mlp.gate", | |
| "mtp.layers.0.mlp.shared_expert*" | |
| ], | |
| "quantized_layers": { | |
| "model.language_model.layers.0.mlp.experts": { | |
| "quant_algo": "NVFP4", | |
| "group_size": 16 | |
| }, | |
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| "quant_algo": "NVFP4", | |
| "group_size": 16 | |
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| "quant_algo": "MXFP8", | |
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| "quant_algo": "MXFP8", | |
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| "quant_algo": "MXFP8", | |
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| "quant_algo": "MXFP8", | |
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| "model.language_model.layers.7.mlp.shared_expert.gate_proj": { | |
| "quant_algo": "MXFP8", | |
| "group_size": 32 | |
| }, | |
| "model.language_model.layers.7.mlp.shared_expert.up_proj": { | |
| "quant_algo": "MXFP8", | |
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