Skip to content
ModelVerifiedExternal
Download

Qwen2.5 3B Instruct Jokester English Q8 0 GGUF

This model was converted to GGUF format from KonradBRG/Qwen2.5-3B-Instruct-Jokester-English 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 modelKonradBRG/Qwen2.5-3B-Instruct-Jokester-EnglishVersionRevision 4b8af0ePublisher@Dev-in-the-BMCgrade

Model source

Kind
Other
File size
3.06 GB
Base model
KonradBRG/Qwen2.5-3B-Instruct-Jokester-English
Version
vRevision 4b8af0e
Updated
Oct 3, 2026
Downloads
41
Parameters
3B
Tasks
Text generation
Source
Hugging Face

Source description

Dev-in-the-BM/Qwen2.5-3B-Instruct-Jokester-English-Q8_0-GGUF

This model was converted to GGUF format from KonradBRG/Qwen2.5-3B-Instruct-Jokester-English 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 Dev-in-the-BM/Qwen2.5-3B-Instruct-Jokester-English-Q8_0-GGUF --hf-file qwen2.5-3b-instruct-jokester-english-q8_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Dev-in-the-BM/Qwen2.5-3B-Instruct-Jokester-English-Q8_0-GGUF --hf-file qwen2.5-3b-instruct-jokester-english-q8_0.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 Dev-in-the-BM/Qwen2.5-3B-Instruct-Jokester-English-Q8_0-GGUF --hf-file qwen2.5-3b-instruct-jokester-english-q8_0.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo Dev-in-the-BM/Qwen2.5-3B-Instruct-Jokester-English-Q8_0-GGUF --hf-file qwen2.5-3b-instruct-jokester-english-q8_0.gguf -c 2048

Sources

1 source
Hugging FacePrimaryVersion 4b8af0e00bd4772727a96d8c1b2de2573ffe4f96
huggingface.co/Dev-in-the-BM/Qwen2.5-3B-Instruct-Jokester-English-Q8_0-GGUF/tree/4b8af0e00bd4772727a96d8c1b2de2573ffe4f96

Verified Oct 3

Model artifacts

1 artifact

qwen2.5-3b-instruct-jokester-english-q8_0.gguf

gguf · 3.06 GB · SHA-256 5a5753f57d9f…0c70 · Hugging Face

Download

Source excerpts

3 excerpts

--- base_model: KonradBRG/Qwen2.5-3B-Instruct-Jokester-English library_name: transformers model_name: Qwen2.5-3B-Instruct-Jokester-English tags: - generated_from_trainer - grpo - trl - llama-cpp - gguf-my-repo - joke - funny licence: license pipeline_tag: text-generation --- # Dev-in-the-BM/Qwen2.5-3B-Instruct-Jokester-English-Q8_0-GGUF This model was converted to GGUF format from [`KonradBRG/Qwen2.5-3B-Instruct-Jokester-English`](https://huggingface.co/KonradBRG/Qwen2.5-3B-Instruct-Jokester-English) 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/KonradBRG/Qwen2.5-3B-Instruct-Jokester-English) 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 Dev-in-the-BM/Qwen2.5-3B-Instruct-Jokester-English-Q8_0-GGUF --hf-file qwen2.5-3b-instruct-jokester-english-q8_0.gguf -p "The meaning to life and the universe is" ``` ### Server: ```bash llama-server --hf-repo Dev-in-the-BM/Qwen2.5-3B-Instruct-Jokester-English-Q8_0-GGUF --hf-file qwen2.5-3b-instruct-jokester-english-q8_0.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 Dev-in-the-BM/Qwen2.5-3B-Instruct-Jokester-English-Q8_0-GGUF --hf-file qwen2.5-3b-instruct-jokester-english-q8_0.gguf -p "The meaning to life and the universe is" ``` or ``` ./llama-server --hf-repo Dev-in-the-BM/Qwen2.5-3B-Instruct-Jokester-English-Q8_0-GGUF --hf-file qwen2.5-3b-instruct-jokester-english-q8_0.gguf -c 2048 ```

Source context: 41 downloads · 1 likes · Pipeline text-generation · Library transformers · Repo Dev-in-the-BM/Qwen2.5-3B-Instruct-Jokester-English-Q8_0-GGUF

Source context: 25 downloads · 1 likes · Pipeline text-generation · Library transformers · Repo Dev-in-the-BM/Qwen2.5-3B-Instruct-Jokester-English-Q8_0-GGUF