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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.

ArtOtherBasismodellKonradBRG/Qwen2.5-3B-Instruct-Jokester-EnglishVersionRevision 4b8af0eVerleger@Dev-in-the-BMCBewertung

Modellquelle

Art
Other
Dateigröße
3,06 GB
Basismodell
KonradBRG/Qwen2.5-3B-Instruct-Jokester-English
Version
vRevision 4b8af0e
Aktualisiert
3. Okt. 2026
Downloads
41
Parameter
3B
Aufgaben
Textgenerierung
Quelle
Hugging Face

Quellenbeschreibung

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

Quellen

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

Verifiziert 3. Okt.

Modellartefakte

1 Artefakt

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

gguf · 3,06 GB · SHA-256 5a5753f57d9f…0c70 · Hugging Face

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Quellenauszüge

3 Auszüge

--- 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