89 lines
2.5 KiB
Markdown
89 lines
2.5 KiB
Markdown
---
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language:
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- en
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license: apache-2.0
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base_model: randhir302/HumanFlow
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library_name: transformers
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pipeline_tag: text-generation
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tags:
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- text-generation
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- llama3
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- humanizer
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- rewriting
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- conversational
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- merged
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- sft
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- editorial
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- llama-cpp
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- gguf-my-repo
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widget:
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- text: 'Rewrite this in a more human tone: The system is functioning correctly.'
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example_title: Smooth System
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- text: 'Rewrite this in a more human tone: The implementation has been completed
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successfully.'
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example_title: Successful Setup
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- text: 'Rewrite this in a more human tone: The user is advised to proceed with caution.'
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example_title: Friendly Warning
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model-index:
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- name: HumanFlow-Llama3-8B
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results:
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- task:
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type: text-generation
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dataset:
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name: Internal Evaluation Suite
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type: custom
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metrics:
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- type: BERTScore F1
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value: 0.8424
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- type: ROUGE-L
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value: 0.0908
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- type: Perplexity
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value: 1.5242
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- type: Text Overlap
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value: 0.0528
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---
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# randhir302/HumanFlow-Q4_0-GGUF
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This model was converted to GGUF format from [`randhir302/HumanFlow`](https://huggingface.co/randhir302/HumanFlow) 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/randhir302/HumanFlow) 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 randhir302/HumanFlow-Q4_0-GGUF --hf-file humanflow-q4_0.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 randhir302/HumanFlow-Q4_0-GGUF --hf-file humanflow-q4_0.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 randhir302/HumanFlow-Q4_0-GGUF --hf-file humanflow-q4_0.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 randhir302/HumanFlow-Q4_0-GGUF --hf-file humanflow-q4_0.gguf -c 2048
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```
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