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.
Fonte do modelo
- Tipo
- Other
- Tamanho do arquivo
- 3,06 GB
- Modelo base
- KonradBRG/Qwen2.5-3B-Instruct-Jokester-English
- Versão
- vRevision 4b8af0e
- Atualizado
- 3 de out. de 2026
- Publicador
- @Dev-in-the-BM
- Downloads
- 41
- Parâmetros
- 3B
- Tarefas
- Geração de texto
- Fonte
- Hugging Face
Descrição da fonte
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
Fontes
1 fonte
Fontes
1 fonteVerificado 3 de out.
Artefatos de modelo
1 artefato
Artefatos de modelo
1 artefatoqwen2.5-3b-instruct-jokester-english-q8_0.gguf
gguf · 3,06 GB · SHA-256 5a5753f57d9f…0c70 · Hugging Face
BaixarTrechos de fonte
3 trechos
Trechos de fonte
3 trechos--- 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
