Instructions to use JustData/Prima-LelantaclesV7-experimental-7b-Q8_0-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JustData/Prima-LelantaclesV7-experimental-7b-Q8_0-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JustData/Prima-LelantaclesV7-experimental-7b-Q8_0-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use JustData/Prima-LelantaclesV7-experimental-7b-Q8_0-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 JustData/Prima-LelantaclesV7-experimental-7b-Q8_0-GGUF:Q8_0 # Run inference directly in the terminal: llama cli -hf JustData/Prima-LelantaclesV7-experimental-7b-Q8_0-GGUF:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf JustData/Prima-LelantaclesV7-experimental-7b-Q8_0-GGUF:Q8_0 # Run inference directly in the terminal: llama cli -hf JustData/Prima-LelantaclesV7-experimental-7b-Q8_0-GGUF:Q8_0
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 JustData/Prima-LelantaclesV7-experimental-7b-Q8_0-GGUF:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf JustData/Prima-LelantaclesV7-experimental-7b-Q8_0-GGUF:Q8_0
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 JustData/Prima-LelantaclesV7-experimental-7b-Q8_0-GGUF:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf JustData/Prima-LelantaclesV7-experimental-7b-Q8_0-GGUF:Q8_0
Use Docker
docker model run hf.co/JustData/Prima-LelantaclesV7-experimental-7b-Q8_0-GGUF:Q8_0
- LM Studio
- Jan
- Ollama
How to use JustData/Prima-LelantaclesV7-experimental-7b-Q8_0-GGUF with Ollama:
ollama run hf.co/JustData/Prima-LelantaclesV7-experimental-7b-Q8_0-GGUF:Q8_0
- Unsloth Desktop
- Docker Model Runner
How to use JustData/Prima-LelantaclesV7-experimental-7b-Q8_0-GGUF with Docker Model Runner:
docker model run hf.co/JustData/Prima-LelantaclesV7-experimental-7b-Q8_0-GGUF:Q8_0
- Lemonade
How to use JustData/Prima-LelantaclesV7-experimental-7b-Q8_0-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull JustData/Prima-LelantaclesV7-experimental-7b-Q8_0-GGUF:Q8_0
Run and chat with the model
lemonade run user.Prima-LelantaclesV7-experimental-7b-Q8_0-GGUF-Q8_0
List all available models
lemonade list
- Atomic Chat
license: other
library_name: transformers
tags:
- mergekit
- merge
- llama-cpp
- gguf-my-repo
base_model:
- Nitral-AI/Prima-LelantaclesV6.69-7b
- Nitral-AI/Prima-LelantaclesV6.31-7b
model-index:
- name: Prima-LelantaclesV7-7b
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: AI2 Reasoning Challenge (25-Shot)
type: ai2_arc
config: ARC-Challenge
split: test
args:
num_few_shot: 25
metrics:
- type: acc_norm
value: 70.65
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Prima-LelantaclesV7-7b
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: HellaSwag (10-Shot)
type: hellaswag
split: validation
args:
num_few_shot: 10
metrics:
- type: acc_norm
value: 87.94
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Prima-LelantaclesV7-7b
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU (5-Shot)
type: cais/mmlu
config: all
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 64.67
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Prima-LelantaclesV7-7b
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: TruthfulQA (0-shot)
type: truthful_qa
config: multiple_choice
split: validation
args:
num_few_shot: 0
metrics:
- type: mc2
value: 67.45
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Prima-LelantaclesV7-7b
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: Winogrande (5-shot)
type: winogrande
config: winogrande_xl
split: validation
args:
num_few_shot: 5
metrics:
- type: acc
value: 84.69
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Prima-LelantaclesV7-7b
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GSM8k (5-shot)
type: gsm8k
config: main
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 62.77
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Prima-LelantaclesV7-7b
name: Open LLM Leaderboard
JustData/Prima-LelantaclesV7-experimental-7b-Q8_0-GGUF
This model was converted to GGUF format from ChaoticNeutrals/Prima-LelantaclesV7-experimental-7b 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.
brew install ggerganov/ggerganov/llama.cpp
Invoke the llama.cpp server or the CLI.
CLI:
llama-cli --hf-repo JustData/Prima-LelantaclesV7-experimental-7b-Q8_0-GGUF --model prima-lelantaclesv7-experimental-7b.Q8_0.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo JustData/Prima-LelantaclesV7-experimental-7b-Q8_0-GGUF --model prima-lelantaclesv7-experimental-7b.Q8_0.gguf -c 2048
Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.
git clone https://github.com/ggerganov/llama.cpp && cd llama.cpp && make && ./main -m prima-lelantaclesv7-experimental-7b.Q8_0.gguf -n 128