Instructions to use RichardErkhov/TroyDoesAI_-_Llama-3.1-13B-Instruct-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/TroyDoesAI_-_Llama-3.1-13B-Instruct-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/TroyDoesAI_-_Llama-3.1-13B-Instruct-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf RichardErkhov/TroyDoesAI_-_Llama-3.1-13B-Instruct-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/TroyDoesAI_-_Llama-3.1-13B-Instruct-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf RichardErkhov/TroyDoesAI_-_Llama-3.1-13B-Instruct-gguf: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 RichardErkhov/TroyDoesAI_-_Llama-3.1-13B-Instruct-gguf:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf RichardErkhov/TroyDoesAI_-_Llama-3.1-13B-Instruct-gguf: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 RichardErkhov/TroyDoesAI_-_Llama-3.1-13B-Instruct-gguf:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf RichardErkhov/TroyDoesAI_-_Llama-3.1-13B-Instruct-gguf:Q4_K_M
Use Docker
docker model run hf.co/RichardErkhov/TroyDoesAI_-_Llama-3.1-13B-Instruct-gguf:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use RichardErkhov/TroyDoesAI_-_Llama-3.1-13B-Instruct-gguf with Ollama:
ollama run hf.co/RichardErkhov/TroyDoesAI_-_Llama-3.1-13B-Instruct-gguf:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use RichardErkhov/TroyDoesAI_-_Llama-3.1-13B-Instruct-gguf with Docker Model Runner:
docker model run hf.co/RichardErkhov/TroyDoesAI_-_Llama-3.1-13B-Instruct-gguf:Q4_K_M
- Lemonade
How to use RichardErkhov/TroyDoesAI_-_Llama-3.1-13B-Instruct-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull RichardErkhov/TroyDoesAI_-_Llama-3.1-13B-Instruct-gguf:Q4_K_M
Run and chat with the model
lemonade run user.TroyDoesAI_-_Llama-3.1-13B-Instruct-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.
Llama-3.1-13B-Instruct - GGUF
- Model creator: https://huggingface.co/TroyDoesAI/
- Original model: https://huggingface.co/TroyDoesAI/Llama-3.1-13B-Instruct/
| Name | Quant method | Size |
|---|---|---|
| Llama-3.1-13B-Instruct.Q2_K.gguf | Q2_K | 4.75GB |
| Llama-3.1-13B-Instruct.Q3_K_S.gguf | Q3_K_S | 5.51GB |
| Llama-3.1-13B-Instruct.Q3_K.gguf | Q3_K | 6.08GB |
| Llama-3.1-13B-Instruct.Q3_K_M.gguf | Q3_K_M | 6.08GB |
| Llama-3.1-13B-Instruct.Q3_K_L.gguf | Q3_K_L | 6.58GB |
| Llama-3.1-13B-Instruct.IQ4_XS.gguf | IQ4_XS | 6.81GB |
| Llama-3.1-13B-Instruct.Q4_0.gguf | Q4_0 | 7.08GB |
| Llama-3.1-13B-Instruct.IQ4_NL.gguf | IQ4_NL | 7.16GB |
| Llama-3.1-13B-Instruct.Q4_K_S.gguf | Q4_K_S | 7.13GB |
| Llama-3.1-13B-Instruct.Q4_K.gguf | Q4_K | 7.51GB |
| Llama-3.1-13B-Instruct.Q4_K_M.gguf | Q4_K_M | 7.51GB |
| Llama-3.1-13B-Instruct.Q4_1.gguf | Q4_1 | 7.83GB |
| Llama-3.1-13B-Instruct.Q5_0.gguf | Q5_0 | 8.57GB |
| Llama-3.1-13B-Instruct.Q5_K_S.gguf | Q5_K_S | 8.57GB |
| Llama-3.1-13B-Instruct.Q5_K.gguf | Q5_K | 8.78GB |
| Llama-3.1-13B-Instruct.Q5_K_M.gguf | Q5_K_M | 8.78GB |
| Llama-3.1-13B-Instruct.Q5_1.gguf | Q5_1 | 9.31GB |
| Llama-3.1-13B-Instruct.Q6_K.gguf | Q6_K | 10.14GB |
| Llama-3.1-13B-Instruct.Q8_0.gguf | Q8_0 | 13.13GB |
Original model description:
base_model:
- TroyDoesAI/Llama-3.1-8B-Instruct library_name: transformers tags:
- mergekit
- merge
Llama-3.1-13B-Instruct
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the passthrough merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
#### BEST CONFIGURATION ####
slices:
- sources:
- layer_range: [0, 8]
model: TroyDoesAI/Llama-3.1-8B-Instruct
- sources:
- layer_range: [4, 12]
model: TroyDoesAI/Llama-3.1-8B-Instruct
- sources:
- layer_range: [8, 16]
model: TroyDoesAI/Llama-3.1-8B-Instruct
- sources:
- layer_range: [12, 20]
model: TroyDoesAI/Llama-3.1-8B-Instruct
- sources:
- layer_range: [16, 24]
model: TroyDoesAI/Llama-3.1-8B-Instruct
- sources:
- layer_range: [20, 28]
model: TroyDoesAI/Llama-3.1-8B-Instruct
- sources:
- layer_range: [24, 32]
model: TroyDoesAI/Llama-3.1-8B-Instruct
merge_method: passthrough
dtype: bfloat16
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