Instructions to use NeverSleep/NoromaidxOpenGPT4-2-GGUF-iMatrix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use NeverSleep/NoromaidxOpenGPT4-2-GGUF-iMatrix with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf NeverSleep/NoromaidxOpenGPT4-2-GGUF-iMatrix:Q4_K_M # Run inference directly in the terminal: llama cli -hf NeverSleep/NoromaidxOpenGPT4-2-GGUF-iMatrix:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf NeverSleep/NoromaidxOpenGPT4-2-GGUF-iMatrix:Q4_K_M # Run inference directly in the terminal: llama cli -hf NeverSleep/NoromaidxOpenGPT4-2-GGUF-iMatrix:Q4_K_M
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 NeverSleep/NoromaidxOpenGPT4-2-GGUF-iMatrix:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf NeverSleep/NoromaidxOpenGPT4-2-GGUF-iMatrix:Q4_K_M
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 NeverSleep/NoromaidxOpenGPT4-2-GGUF-iMatrix:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf NeverSleep/NoromaidxOpenGPT4-2-GGUF-iMatrix:Q4_K_M
Use Docker
docker model run hf.co/NeverSleep/NoromaidxOpenGPT4-2-GGUF-iMatrix:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use NeverSleep/NoromaidxOpenGPT4-2-GGUF-iMatrix with Ollama:
ollama run hf.co/NeverSleep/NoromaidxOpenGPT4-2-GGUF-iMatrix:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use NeverSleep/NoromaidxOpenGPT4-2-GGUF-iMatrix with Docker Model Runner:
docker model run hf.co/NeverSleep/NoromaidxOpenGPT4-2-GGUF-iMatrix:Q4_K_M
- Lemonade
How to use NeverSleep/NoromaidxOpenGPT4-2-GGUF-iMatrix with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull NeverSleep/NoromaidxOpenGPT4-2-GGUF-iMatrix:Q4_K_M
Run and chat with the model
lemonade run user.NoromaidxOpenGPT4-2-GGUF-iMatrix-Q4_K_M
List all available models
lemonade list
- Atomic Chat
base_model:
- NeverSleep/Noromaid-v0.1-mixtral-8x7b-Instruct-v3
- rombodawg/Open_Gpt4_8x7B_v0.2
- mistralai/Mixtral-8x7B-Instruct-v0.1
tags:
- mergekit
- merge
- not-for-all-audiences
- nsfw
license: cc-by-nc-4.0
Description
This repo contains fp16 files of NoromaidxOpenGPT4-2.
The model was created by merging Noromaid-8x7b-Instruct with Open_Gpt4_8x7B_v0.2 the exact same way Rombodawg done his merge.
The only difference between NoromaidxOpenGPT4-1 and NoromaidxOpenGPT4-2 is that the first iteration use Mixtral-8x7B as a base for the merge (f16), where the second use Open_Gpt4_8x7B_v0.2 as a base (bf16).
After further testing and usage, the two model was released, because they each have their own qualities.
You can download the imatrix file to do many other quant HERE.
Prompt template:
Alpaca
### Instruction:
{system prompt}
### Input:
{prompt}
### Response:
{output}
Mistral
[INST] {prompt} [/INST]
Merge Details
Merge Method
This model was merged using the TIES merge method using rombodawg/Open_Gpt4_8x7B_v0.2 as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: mistralai/Mixtral-8x7B-Instruct-v0.1
parameters:
density: .5
weight: 1
- model: NeverSleep/Noromaid-v0.1-mixtral-8x7b-Instruct-v3
parameters:
density: .5
weight: .7
merge_method: ties
base_model: rombodawg/Open_Gpt4_8x7B_v0.2
parameters:
normalize: true
int8_mask: true
dtype: bfloat16
Support
If you want to support us, you can here.