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LLaMA Mesh Q4 K M GGUF

This model was converted to GGUF format from Zhengyi/LLaMA-Mesh using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

ArtOtherBasismodellZhengyi/LLaMA-MeshVersionRevision 6f9dae4BBewertung

Modellquelle

Art
Other
Dateigröße
4,58 GB
Basismodell
Zhengyi/LLaMA-Mesh
Version
vRevision 6f9dae4
Aktualisiert
10. Okt. 2026
Downloads
62
Quelle
Hugging Face

Quellenbeschreibung

X054848/LLaMA-Mesh-Q4_K_M-GGUF

This model was converted to GGUF format from Zhengyi/LLaMA-Mesh using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

Use with llama.cpp

Install llama.cpp through brew (works on Mac and Linux)

brew install llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo X054848/LLaMA-Mesh-Q4_K_M-GGUF --hf-file llama-mesh-q4_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo X054848/LLaMA-Mesh-Q4_K_M-GGUF --hf-file llama-mesh-q4_k_m.gguf -c 2048

Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.

Step 1: Clone llama.cpp from GitHub.

git clone https://github.com/ggerganov/llama.cpp

Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL=1 flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).

cd llama.cpp && LLAMA_CURL=1 make

Step 3: Run inference through the main binary.

./llama-cli --hf-repo X054848/LLaMA-Mesh-Q4_K_M-GGUF --hf-file llama-mesh-q4_k_m.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo X054848/LLaMA-Mesh-Q4_K_M-GGUF --hf-file llama-mesh-q4_k_m.gguf -c 2048

Quellen

1 Quelle
Hugging FacePrimärVersion 6f9dae406e6dc931894fca7d0d6523875d60a403
huggingface.co/X054848/LLaMA-Mesh-Q4_K_M-GGUF/tree/6f9dae406e6dc931894fca7d0d6523875d60a403

Verifiziert 10. Okt.

Modellartefakte

1 Artefakt

llama-mesh-q4_k_m.gguf

gguf · 4,58 GB · SHA-256 58eccdffca3a…f26d · Hugging Face

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Quellenauszüge

3 Auszüge

--- license: llama3.1 library_name: transformers pipeline_tag: text-to-3d tags: - mesh-generation - llama-cpp - gguf-my-repo base_model: Zhengyi/LLaMA-Mesh --- # X054848/LLaMA-Mesh-Q4_K_M-GGUF This model was converted to GGUF format from [`Zhengyi/LLaMA-Mesh`](https://huggingface.co/Zhengyi/LLaMA-Mesh) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space. Refer to the [original model card](https://huggingface.co/Zhengyi/LLaMA-Mesh) for more details on the model. ## Use with llama.cpp Install llama.cpp through brew (works on Mac and Linux) ```bash brew install llama.cpp ``` Invoke the llama.cpp server or the CLI. ### CLI: ```bash llama-cli --hf-repo X054848/LLaMA-Mesh-Q4_K_M-GGUF --hf-file llama-mesh-q4_k_m.gguf -p "The meaning to life and the universe is" ``` ### Server: ```bash llama-server --hf-repo X054848/LLaMA-Mesh-Q4_K_M-GGUF --hf-file llama-mesh-q4_k_m.gguf -c 2048 ``` Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well. Step 1: Clone llama.cpp from GitHub. ``` git clone https://github.com/ggerganov/llama.cpp ``` Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux). ``` cd llama.cpp && LLAMA_CURL=1 make ``` Step 3: Run inference through the main binary. ``` ./llama-cli --hf-repo X054848/LLaMA-Mesh-Q4_K_M-GGUF --hf-file llama-mesh-q4_k_m.gguf -p "The meaning to life and the universe is" ``` or ``` ./llama-server --hf-repo X054848/LLaMA-Mesh-Q4_K_M-GGUF --hf-file llama-mesh-q4_k_m.gguf -c 2048 ```

Source context: 62 downloads · 2 likes · Pipeline text-to-3d · Library transformers · Repo X054848/LLaMA-Mesh-Q4_K_M-GGUF

Source context: 333 downloads · 2 likes · Pipeline text-to-3d · Library transformers · Repo X054848/LLaMA-Mesh-Q4_K_M-GGUF