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EraX VL 2B V1.5 Q4 K M GGUF

This model was converted to GGUF format from erax-ai/EraX-VL-2B-V1.5 using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

KindOtherBase modelerax-ai/EraX-VL-2B-V1.5VersionRevision 11cdc17Bgrade

Model source

Kind
Other
File size
940 MB
Base model
erax-ai/EraX-VL-2B-V1.5
Version
vRevision 11cdc17
Updated
Sep 15, 2026
Downloads
38
Source
Hugging Face

Source description

Ngoac/EraX-VL-2B-V1.5-Q4_K_M-GGUF

This model was converted to GGUF format from erax-ai/EraX-VL-2B-V1.5 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 Ngoac/EraX-VL-2B-V1.5-Q4_K_M-GGUF --hf-file erax-vl-2b-v1.5-q4_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Ngoac/EraX-VL-2B-V1.5-Q4_K_M-GGUF --hf-file erax-vl-2b-v1.5-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 Ngoac/EraX-VL-2B-V1.5-Q4_K_M-GGUF --hf-file erax-vl-2b-v1.5-q4_k_m.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo Ngoac/EraX-VL-2B-V1.5-Q4_K_M-GGUF --hf-file erax-vl-2b-v1.5-q4_k_m.gguf -c 2048

Sources

1 source
Hugging FacePrimaryVersion 11cdc17b0615797b2ba6490debec84d950107603
huggingface.co/Ngoac/EraX-VL-2B-V1.5-Q4_K_M-GGUF/tree/11cdc17b0615797b2ba6490debec84d950107603

Verified Aug 21

Model artifacts

1 artifact

erax-vl-2b-v1.5-q4_k_m.gguf

gguf · 940 MB · SHA-256 b176a165b984…c576 · Hugging Face

Download file

Source excerpts

2 excerpts

--- license: apache-2.0 language: - vi - en - zh base_model: erax-ai/EraX-VL-2B-V1.5 library_name: transformers tags: - erax - multimodal - erax-vl-2B - insurance - ocr - vietnamese - bcg - llama-cpp - gguf-my-repo pipeline_tag: visual-question-answering widget: - src: images/photo-1-16505057982762025719470.webp example_title: Test 1 - src: images/vt-don-thuoc-f0-7417.jpeg example_title: Test 2 --- # Ngoac/EraX-VL-2B-V1.5-Q4_K_M-GGUF This model was converted to GGUF format from [`erax-ai/EraX-VL-2B-V1.5`](https://huggingface.co/erax-ai/EraX-VL-2B-V1.5) 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/erax-ai/EraX-VL-2B-V1.5) 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 Ngoac/EraX-VL-2B-V1.5-Q4_K_M-GGUF --hf-file erax-vl-2b-v1.5-q4_k_m.gguf -p "The meaning to life and the universe is" ``` ### Server: ```bash llama-server --hf-repo Ngoac/EraX-VL-2B-V1.5-Q4_K_M-GGUF --hf-file erax-vl-2b-v1.5-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 Ngoac/EraX-VL-2B-V1.5-Q4_K_M-GGUF --hf-file erax-vl-2b-v1.5-q4_k_m.gguf -p "The meaning to life and the universe is" ``` or ``` ./llama-server --hf-repo Ngoac/EraX-VL-2B-V1.5-Q4_K_M-GGUF --hf-file erax-vl-2b-v1.5-q4_k_m.gguf -c 2048 ```

Source context: 38 downloads · 0 likes · Pipeline visual-question-answering · Library transformers · Repo Ngoac/EraX-VL-2B-V1.5-Q4_K_M-GGUF