metadata

base_model: Spestly/Atlas-Flash-7B-Preview
tags:
  - text-generation-inference
  - transformers
  - qwen2
  - trl
  - r1
  - gemini-2.0
  - gpt4
  - conversational
  - chat
  - llama-cpp
  - gguf-my-repo
license: mit
language:
  - en
  - zh
  - fr
  - es
  - pt
  - de
  - it
  - ru
  - ja
  - ko
  - vi
  - th
  - ar
  - fa
  - he
  - tr
  - cs
  - pl
  - hi
  - bn
  - ur
  - id
  - ms
  - lo
  - my
  - ceb
  - km
  - tl
  - nl
library_name: transformers
datasets:
  - BAAI/TACO
  - codeparrot/apps
  - rubenroy/GammaCorpus-v1-70k-UNFILTERED
extra_gated_prompt: >-
  By accessing this model, you agree to comply with ethical usage guidelines and
  accept full responsibility for its applications. You will not use this model
  for harmful, malicious, or illegal activities, and you understand that the
  model's use is subject to ongoing monitoring for misuse. This model is
  provided 'AS IS' and agreeing to this means that you are responsible for all
  the outputs generated by you
extra_gated_fields:
  Name: text
  Organization: text
  Country: country
  Date of Birth: date_picker
  Intended Use:
    type: select
    options:
      - Research
      - Education
      - Personal Development
      - Commercial Use
      - label: Other
        value: other
  I agree to use this model in accordance with all applicable laws and ethical guidelines: checkbox
  I agree to use this model under the MIT licence: checkbox

Triangle104/Atlas-Flash-7B-Preview-Q6_K-GGUF

This model was converted to GGUF format from Spestly/Atlas-Flash-7B-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 Triangle104/Atlas-Flash-7B-Preview-Q6_K-GGUF --hf-file atlas-flash-7b-preview-q6_k.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Triangle104/Atlas-Flash-7B-Preview-Q6_K-GGUF --hf-file atlas-flash-7b-preview-q6_k.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/Atlas-Flash-7B-Preview-Q6_K-GGUF --hf-file atlas-flash-7b-preview-q6_k.gguf -p "The meaning to life and the universe is"

./llama-server --hf-repo Triangle104/Atlas-Flash-7B-Preview-Q6_K-GGUF --hf-file atlas-flash-7b-preview-q6_k.gguf -c 2048