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k0ta0uchi/Llama-3-Kimodo-SMPLX-RP-v1-GGUF
Llama-3-Kimodo-SMPLX-RP-v1-GGUF is a machine learning model from k0ta0uchi. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as other.
Pre-converted GGUF weights and LLM2Vec text encoder bundle for kimodo.cpp, enabling native, high-performance CPU / Vulkan GPU text-to-motion generation of SMPL-X22 3D animation skeletons.
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From the Hugging Face model README
Pre-converted GGUF weights and LLM2Vec text encoder bundle for kimodo.cpp, enabling native, high-performance CPU / Vulkan GPU text-to-motion generation of SMPL-X22 3D animation skeletons.
kimodo-smplx-rp-v1-f32.gguf (~1.13 GB): Motion diffusion denoiser and SMPL-X22 kinematic decoder in F32 GGUF format.llm2vec-text-bundle/ (~15 GB): Chunked Llama-3-8B + LLM2Vec bidirectional text encoder components (Tokenizer, Embedding, Final-norm, and Layers 00–31 in BF16/F32 GGUF format).You can download this entire repository directly using huggingface-cli or hf:
huggingface-cli download k0ta0uchi/Llama-3-Kimodo-SMPLX-RP-v1-GGUF --local-dir models/
Or download with Python:
from huggingface_hub import snapshot_download
snapshot_download(
repo_id="k0ta0uchi/Llama-3-Kimodo-SMPLX-RP-v1-GGUF",
local_dir="./models",
)
# Windows
kmd-generate.exe models/kimodo-smplx-rp-v1-f32.gguf models/llm2vec-text-bundle prompt.txt 150 100 42 output_dir/
# Linux / macOS
./build/release/kmd-generate models/kimodo-smplx-rp-v1-f32.gguf models/llm2vec-text-bundle prompt.txt 150 100 42 output_dir/
go run ./demo -generator build/Release/kmd-generate.exe -motion-model models/kimodo-smplx-rp-v1-f32.gguf -text-bundle models/llm2vec-text-bundle -addr 0.0.0.0:8094
This model package contains derivative works created from:
LICENSE-NVIDIA.txt for details.LICENSE-LLAMA3.txt and Meta Llama 3 Acceptable Use Policy for details.McGill-NLP/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp and ...-supervised.