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Model: randhir302/HumanFlow-Q4_0-GGUF
Source: Original Platform

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README.md

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+---
+language:
+- en
+license: apache-2.0
+base_model: randhir302/HumanFlow
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+- text-generation
+- llama3
+- humanizer
+- rewriting
+- conversational
+- merged
+- sft
+- editorial
+- llama-cpp
+- gguf-my-repo
+widget:
+- text: 'Rewrite this in a more human tone: The system is functioning correctly.'
+  example_title: Smooth System
+- text: 'Rewrite this in a more human tone: The implementation has been completed
+    successfully.'
+  example_title: Successful Setup
+- text: 'Rewrite this in a more human tone: The user is advised to proceed with caution.'
+  example_title: Friendly Warning
+model-index:
+- name: HumanFlow-Llama3-8B
+  results:
+  - task:
+      type: text-generation
+    dataset:
+      name: Internal Evaluation Suite
+      type: custom
+    metrics:
+    - type: BERTScore F1
+      value: 0.8424
+    - type: ROUGE-L
+      value: 0.0908
+    - type: Perplexity
+      value: 1.5242
+    - type: Text Overlap
+      value: 0.0528
+---
+
+# randhir302/HumanFlow-Q4_0-GGUF
+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.
+Refer to the [original model card](https://huggingface.co/randhir302/HumanFlow) for more details on the model.
+
+## Use with llama.cpp
+Install llama.cpp through brew (works on Mac and Linux)
+
+```bash
+brew install llama.cpp
+
+```
+Invoke the llama.cpp server or the CLI.
+
+### CLI:
+```bash
+llama-cli --hf-repo randhir302/HumanFlow-Q4_0-GGUF --hf-file humanflow-q4_0.gguf -p "The meaning to life and the universe is"
+```
+
+### Server:
+```bash
+llama-server --hf-repo randhir302/HumanFlow-Q4_0-GGUF --hf-file humanflow-q4_0.gguf -c 2048
+```
+
+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.
+
+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 randhir302/HumanFlow-Q4_0-GGUF --hf-file humanflow-q4_0.gguf -p "The meaning to life and the universe is"
+```
+or
+```
+./llama-server --hf-repo randhir302/HumanFlow-Q4_0-GGUF --hf-file humanflow-q4_0.gguf -c 2048
+```

humanflow-q4_0.gguf

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