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README.md
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---
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base_model: Spestly/Atlas-Flash-7B-Preview
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tags:
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- text-generation-inference
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- transformers
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- qwen2
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- trl
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- r1
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- gemini-2.0
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- gpt4
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- conversational
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- chat
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- llama-cpp
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- gguf-my-repo
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license: mit
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language:
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- en
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- zh
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- fr
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- es
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- pt
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- de
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- it
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- ru
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- ja
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- ko
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- vi
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- th
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- ar
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- fa
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- he
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- tr
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- cs
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- pl
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- hi
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- bn
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- ur
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- id
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- ms
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- lo
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- my
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- ceb
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- km
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- tl
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- nl
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library_name: transformers
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datasets:
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- BAAI/TACO
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- codeparrot/apps
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- rubenroy/GammaCorpus-v1-70k-UNFILTERED
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extra_gated_prompt: By accessing this model, you agree to comply with ethical usage
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guidelines and accept full responsibility for its applications. You will not use
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this model for harmful, malicious, or illegal activities, and you understand that
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the model's use is subject to ongoing monitoring for misuse. This model is provided
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'AS IS' and agreeing to this means that you are responsible for all the outputs
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generated by you
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extra_gated_fields:
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Name: text
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Organization: text
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Country: country
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Date of Birth: date_picker
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Intended Use:
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type: select
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options:
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- Research
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- Education
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- Personal Development
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- Commercial Use
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- label: Other
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value: other
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I agree to use this model in accordance with all applicable laws and ethical guidelines: checkbox
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I agree to use this model under the MIT licence: checkbox
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---
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# Triangle104/Atlas-Flash-7B-Preview-Q5_K_M-GGUF
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This model was converted to GGUF format from [`Spestly/Atlas-Flash-7B-Preview`](https://huggingface.co/Spestly/Atlas-Flash-7B-Preview) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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Refer to the [original model card](https://huggingface.co/Spestly/Atlas-Flash-7B-Preview) for more details on the model.
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## Use with llama.cpp
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Install llama.cpp through brew (works on Mac and Linux)
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```bash
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brew install llama.cpp
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```
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Invoke the llama.cpp server or the CLI.
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### CLI:
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```bash
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llama-cli --hf-repo Triangle104/Atlas-Flash-7B-Preview-Q5_K_M-GGUF --hf-file atlas-flash-7b-preview-q5_k_m.gguf -p "The meaning to life and the universe is"
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```
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### Server:
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```bash
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llama-server --hf-repo Triangle104/Atlas-Flash-7B-Preview-Q5_K_M-GGUF --hf-file atlas-flash-7b-preview-q5_k_m.gguf -c 2048
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```
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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.
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Step 1: Clone llama.cpp from GitHub.
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```
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git clone https://github.com/ggerganov/llama.cpp
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```
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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).
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```
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cd llama.cpp && LLAMA_CURL=1 make
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```
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Step 3: Run inference through the main binary.
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```
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./llama-cli --hf-repo Triangle104/Atlas-Flash-7B-Preview-Q5_K_M-GGUF --hf-file atlas-flash-7b-preview-q5_k_m.gguf -p "The meaning to life and the universe is"
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```
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or
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```
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./llama-server --hf-repo Triangle104/Atlas-Flash-7B-Preview-Q5_K_M-GGUF --hf-file atlas-flash-7b-preview-q5_k_m.gguf -c 2048
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```
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