ModelHub XC 4b8432daa0 初始化项目,由ModelHub XC社区提供模型
Model: sankalpshekhar14/deepseek_1.5B_finetuned_react-Q8_0-GGUF
Source: Original Platform
2026-08-10 03:13:16 +08:00

base_model, tags, license, language
base_model tags license language
sankalpshekhar14/deepseek_1.5B_finetuned_react
text-generation-inference
transformers
unsloth
qwen2
trl
llama-cpp
gguf-my-repo
apache-2.0
en

sankalpshekhar14/deepseek_1.5B_finetuned_react-Q8_0-GGUF

This model was converted to GGUF format from sankalpshekhar14/deepseek_1.5B_finetuned_react 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 sankalpshekhar14/deepseek_1.5B_finetuned_react-Q8_0-GGUF --hf-file deepseek_1.5b_finetuned_react-q8_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo sankalpshekhar14/deepseek_1.5B_finetuned_react-Q8_0-GGUF --hf-file deepseek_1.5b_finetuned_react-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 sankalpshekhar14/deepseek_1.5B_finetuned_react-Q8_0-GGUF --hf-file deepseek_1.5b_finetuned_react-q8_0.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo sankalpshekhar14/deepseek_1.5B_finetuned_react-Q8_0-GGUF --hf-file deepseek_1.5b_finetuned_react-q8_0.gguf -c 2048
Description
Model synced from source: sankalpshekhar14/deepseek_1.5B_finetuned_react-Q8_0-GGUF
Readme 24 KiB