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metadata
library_name: transformers
license: apache-2.0
base_model: open-thoughts/OpenThinker-7B
tags:
  - llama-factory
  - full
  - generated_from_trainer
  - llama-cpp
  - gguf-my-repo
datasets:
  - open-thoughts/open-thoughts-114k
model-index:
  - name: DCFT-Stratos-Verified-114k-7B-4gpus
    results: []

Triangle104/OpenThinker-7B-Q4_K_S-GGUF

This model was converted to GGUF format from open-thoughts/OpenThinker-7B using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.


This model is a fine-tuned version of Qwen/Qwen2.5-7B-Instruct on the OpenThoughts-114k dataset dataset.

The dataset is derived by distilling DeepSeek-R1 using the data pipeline available on github. More info about the dataset can be found on the dataset card at OpenThoughts-114k dataset.

This model improves upon the Bespoke-Stratos-7B model, which used 17k examples (Bespoke-Stratos-17k dataset). The numbers reported in the table below are evaluated with our open-source tool Evalchemy.


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 Triangle104/OpenThinker-7B-Q4_K_S-GGUF --hf-file openthinker-7b-q4_k_s.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Triangle104/OpenThinker-7B-Q4_K_S-GGUF --hf-file openthinker-7b-q4_k_s.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 Triangle104/OpenThinker-7B-Q4_K_S-GGUF --hf-file openthinker-7b-q4_k_s.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo Triangle104/OpenThinker-7B-Q4_K_S-GGUF --hf-file openthinker-7b-q4_k_s.gguf -c 2048