Files
HumanFlow-Q4_0-GGUF/README.md
ModelHub XC 94d684283d 初始化项目,由ModelHub XC社区提供模型
Model: randhir302/HumanFlow-Q4_0-GGUF
Source: Original Platform
2026-05-09 22:57:11 +08:00

2.5 KiB

language, license, base_model, library_name, pipeline_tag, tags, widget, model-index
language license base_model library_name pipeline_tag tags widget model-index
en
apache-2.0 randhir302/HumanFlow transformers text-generation
text-generation
llama3
humanizer
rewriting
conversational
merged
sft
editorial
llama-cpp
gguf-my-repo
text example_title
Rewrite this in a more human tone: The system is functioning correctly. Smooth System
text example_title
Rewrite this in a more human tone: The implementation has been completed successfully. Successful Setup
text example_title
Rewrite this in a more human tone: The user is advised to proceed with caution. Friendly Warning
name results
HumanFlow-Llama3-8B
task dataset metrics
type
text-generation
name type
Internal Evaluation Suite custom
type value
BERTScore F1 0.8424
type value
ROUGE-L 0.0908
type value
Perplexity 1.5242
type value
Text Overlap 0.0528

randhir302/HumanFlow-Q4_0-GGUF

This model was converted to GGUF format from randhir302/HumanFlow 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 randhir302/HumanFlow-Q4_0-GGUF --hf-file humanflow-q4_0.gguf -p "The meaning to life and the universe is"

Server:

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 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