How to use from
llama.cppInstall from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf nold/LWM-Text-Chat-512K-GGUF:# Run inference directly in the terminal:
llama cli -hf nold/LWM-Text-Chat-512K-GGUF:Use pre-built binary
# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf nold/LWM-Text-Chat-512K-GGUF:# Run inference directly in the terminal:
./llama-cli -hf nold/LWM-Text-Chat-512K-GGUF:Build from source code
git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf nold/LWM-Text-Chat-512K-GGUF:# Run inference directly in the terminal:
./build/bin/llama-cli -hf nold/LWM-Text-Chat-512K-GGUF:Use Docker
docker model run hf.co/nold/LWM-Text-Chat-512K-GGUF:Quick Links
LWM-Text-Chat-512K Model Card
Model details
Model type: LWM-Text-Chat-512K is an open-source model trained from LLaMA-2 on a subset of Books3 filtered data. It is an auto-regressive language model, based on the transformer architecture.
Model date: LWM-Text-Chat-512K was trained in December 2023.
Paper or resources for more information: https://largeworldmodel.github.io/
License
Llama 2 is licensed under the LLAMA 2 Community License, Copyright (c) Meta Platforms, Inc. All Rights Reserved.
Where to send questions or comments about the model: https://github.com/LargeWorldModel/lwm/issues
Training dataset
- 3500 subset of Books3 documents with 500K to 1M tokens
Vanilla Quantization by nold, Original Model LargeWorldModel/LWM-Text-Chat-512K. Created using llm-quantizer Pipeline - c4aee1019a651a28a4f89587b96894ae7188734f
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Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf nold/LWM-Text-Chat-512K-GGUF:# Run inference directly in the terminal: llama cli -hf nold/LWM-Text-Chat-512K-GGUF: