README.md

metadata

language:
  - en
  - hi
  - zh
  - es
  - fr
  - de
  - ja
  - ko
  - ar
  - pt
  - ru
  - it
  - nl
  - tr
  - pl
  - sv
  - da
  - 'no'
  - fi
  - he
  - th
  - vi
  - id
  - ms
  - tl
  - sw
  - yo
  - zu
  - am
  - bn
  - gu
  - kn
  - ml
  - mr
  - ne
  - or
  - pa
  - ta
  - te
  - ur
  - multilingual
license: apache-2.0
base_model: HelpingAI/Dhanishtha-2.0-preview
tags:
  - reasoning
  - intermediate-thinking
  - transformers
  - conversational
  - bilingual
  - llama-cpp
  - gguf-my-repo
datasets:
  - Abhaykoul/Dhanishtha-R1
  - open-thoughts/OpenThoughts-114k
  - Abhaykoul/Dhanishtha-2.0-SUPERTHINKER
  - Abhaykoul/Dhanishtha-2.0
library_name: transformers
pipeline_tag: text-generation
widget:
  - text: >-
      Solve this riddle step by step: I am taken from a mine, and shut up in a
      wooden case, from which I am never released, and yet I am used by almost
      everybody. What am I?
    example_title: Complex Riddle Solving
  - text: >-
      Explain the philosophical implications of artificial consciousness and
      think through different perspectives.
    example_title: Philosophical Reasoning
  - text: >-
      Help me understand quantum mechanics, but take your time to think through
      the explanation.
    example_title: Educational Explanation

Abhaykoul/Dhanishtha-2.0-preview-Q4_0-GGUF

This model was converted to GGUF format from HelpingAI/Dhanishtha-2.0-preview 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 Abhaykoul/Dhanishtha-2.0-preview-Q4_0-GGUF --hf-file dhanishtha-2.0-preview-q4_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Abhaykoul/Dhanishtha-2.0-preview-Q4_0-GGUF --hf-file dhanishtha-2.0-preview-q4_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 Abhaykoul/Dhanishtha-2.0-preview-Q4_0-GGUF --hf-file dhanishtha-2.0-preview-q4_0.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo Abhaykoul/Dhanishtha-2.0-preview-Q4_0-GGUF --hf-file dhanishtha-2.0-preview-q4_0.gguf -c 2048