Instructions to use RichardErkhov/appvoid_-_arco-exp-01-gguf 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 RichardErkhov/appvoid_-_arco-exp-01-gguf 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 RichardErkhov/appvoid_-_arco-exp-01-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf RichardErkhov/appvoid_-_arco-exp-01-gguf:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf RichardErkhov/appvoid_-_arco-exp-01-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf RichardErkhov/appvoid_-_arco-exp-01-gguf:Q4_K_M
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf RichardErkhov/appvoid_-_arco-exp-01-gguf:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf RichardErkhov/appvoid_-_arco-exp-01-gguf:Q4_K_M
Use Docker
docker model run hf.co/RichardErkhov/appvoid_-_arco-exp-01-gguf:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use RichardErkhov/appvoid_-_arco-exp-01-gguf with Ollama:
ollama run hf.co/RichardErkhov/appvoid_-_arco-exp-01-gguf:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use RichardErkhov/appvoid_-_arco-exp-01-gguf with Docker Model Runner:
docker model run hf.co/RichardErkhov/appvoid_-_arco-exp-01-gguf:Q4_K_M
- Lemonade
How to use RichardErkhov/appvoid_-_arco-exp-01-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull RichardErkhov/appvoid_-_arco-exp-01-gguf:Q4_K_M
Run and chat with the model
lemonade run user.appvoid_-_arco-exp-01-gguf-Q4_K_M
List all available models
lemonade list
- Atomic Chat
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Quantization made by Richard Erkhov.
arco-exp-01 - GGUF
- Model creator: https://huggingface.co/appvoid/
- Original model: https://huggingface.co/appvoid/arco-exp-01/
| Name | Quant method | Size |
|---|---|---|
| arco-exp-01.Q2_K.gguf | Q2_K | 0.2GB |
| arco-exp-01.IQ3_XS.gguf | IQ3_XS | 0.22GB |
| arco-exp-01.IQ3_S.gguf | IQ3_S | 0.22GB |
| arco-exp-01.Q3_K_S.gguf | Q3_K_S | 0.22GB |
| arco-exp-01.IQ3_M.gguf | IQ3_M | 0.23GB |
| arco-exp-01.Q3_K.gguf | Q3_K | 0.24GB |
| arco-exp-01.Q3_K_M.gguf | Q3_K_M | 0.24GB |
| arco-exp-01.Q3_K_L.gguf | Q3_K_L | 0.26GB |
| arco-exp-01.IQ4_XS.gguf | IQ4_XS | 0.27GB |
| arco-exp-01.Q4_0.gguf | Q4_0 | 0.28GB |
| arco-exp-01.IQ4_NL.gguf | IQ4_NL | 0.28GB |
| arco-exp-01.Q4_K_S.gguf | Q4_K_S | 0.28GB |
| arco-exp-01.Q4_K.gguf | Q4_K | 0.3GB |
| arco-exp-01.Q4_K_M.gguf | Q4_K_M | 0.3GB |
| arco-exp-01.Q4_1.gguf | Q4_1 | 0.31GB |
| arco-exp-01.Q5_0.gguf | Q5_0 | 0.34GB |
| arco-exp-01.Q5_K_S.gguf | Q5_K_S | 0.34GB |
| arco-exp-01.Q5_K.gguf | Q5_K | 0.34GB |
| arco-exp-01.Q5_K_M.gguf | Q5_K_M | 0.34GB |
| arco-exp-01.Q5_1.gguf | Q5_1 | 0.36GB |
| arco-exp-01.Q6_K.gguf | Q6_K | 0.39GB |
| arco-exp-01.Q8_0.gguf | Q8_0 | 0.51GB |
Original model description:
base_model:
- appvoid/massive
- appvoid/text-arco library_name: transformers tags:
- mergekit
- merge
merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the SLERP merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: appvoid/text-arco
layer_range: [0, 16]
- model: appvoid/massive
layer_range: [0, 16]
merge_method: slerp
base_model: appvoid/text-arco
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5
dtype: float16
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