Instructions to use liuhaotian/LLaVA-Lightning-MPT-7B-preview with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use liuhaotian/LLaVA-Lightning-MPT-7B-preview with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="liuhaotian/LLaVA-Lightning-MPT-7B-preview")# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("liuhaotian/LLaVA-Lightning-MPT-7B-preview", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use liuhaotian/LLaVA-Lightning-MPT-7B-preview with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "liuhaotian/LLaVA-Lightning-MPT-7B-preview" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "liuhaotian/LLaVA-Lightning-MPT-7B-preview", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/liuhaotian/LLaVA-Lightning-MPT-7B-preview
- SGLang
How to use liuhaotian/LLaVA-Lightning-MPT-7B-preview 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 "liuhaotian/LLaVA-Lightning-MPT-7B-preview" \ --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": "liuhaotian/LLaVA-Lightning-MPT-7B-preview", "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 "liuhaotian/LLaVA-Lightning-MPT-7B-preview" \ --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": "liuhaotian/LLaVA-Lightning-MPT-7B-preview", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use liuhaotian/LLaVA-Lightning-MPT-7B-preview with Docker Model Runner:
docker model run hf.co/liuhaotian/LLaVA-Lightning-MPT-7B-preview
File size: 1,497 Bytes
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"_name_or_path": "llava-mpt-7b-pretrain_blip_558k_new_template_1e-instruct_conv_reason_nooverlap_80k-1epoch",
"architectures": [
"LlavaMPTForCausalLM"
],
"attn_config": {
"alibi": true,
"alibi_bias_max": 8,
"attn_impl": "torch",
"attn_pdrop": 0,
"attn_type": "multihead_attention",
"attn_uses_sequence_id": false,
"clip_qkv": null,
"prefix_lm": false,
"qk_ln": false,
"softmax_scale": null
},
"d_model": 4096,
"emb_pdrop": 0,
"embedding_fraction": 1.0,
"expansion_ratio": 4,
"freeze_mm_mlp_adapter": false,
"init_config": {
"emb_init_std": null,
"emb_init_uniform_lim": null,
"fan_mode": "fan_in",
"init_div_is_residual": true,
"init_gain": 0,
"init_nonlinearity": "relu",
"init_std": 0.02,
"name": "kaiming_normal_",
"verbose": 0
},
"init_device": "cpu",
"learned_pos_emb": true,
"logit_scale": null,
"max_seq_len": 2048,
"mm_hidden_size": 1024,
"mm_use_im_start_end": true,
"mm_vision_select_layer": -2,
"mm_vision_tower": "openai/clip-vit-large-patch14",
"model_type": "llava_mpt",
"n_heads": 32,
"n_layers": 32,
"no_bias": true,
"norm_type": "low_precision_layernorm",
"resid_pdrop": 0,
"sep_image_conv_front": false,
"tokenizer_name": "sam-mosaic/gpt-neox-20b-chatml",
"torch_dtype": "float16",
"transformers_version": "4.28.0.dev0",
"tune_mm_mlp_adapter": false,
"use_cache": true,
"use_mm_proj": true,
"verbose": 0,
"vocab_size": 50282
}
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