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
Upload README.md with huggingface_hub
Browse files
README.md
ADDED
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| 1 |
+
---
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| 2 |
+
license: other
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| 3 |
+
library_name: transformers
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| 4 |
+
tags:
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| 5 |
+
- mergekit
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| 6 |
+
- merge
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| 7 |
+
- llama-cpp
|
| 8 |
+
- gguf-my-repo
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| 9 |
+
base_model:
|
| 10 |
+
- Nitral-AI/Prima-LelantaclesV6.69-7b
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| 11 |
+
- Nitral-AI/Prima-LelantaclesV6.31-7b
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| 12 |
+
model-index:
|
| 13 |
+
- name: Prima-LelantaclesV7-7b
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| 14 |
+
results:
|
| 15 |
+
- task:
|
| 16 |
+
type: text-generation
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| 17 |
+
name: Text Generation
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| 18 |
+
dataset:
|
| 19 |
+
name: AI2 Reasoning Challenge (25-Shot)
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| 20 |
+
type: ai2_arc
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| 21 |
+
config: ARC-Challenge
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| 22 |
+
split: test
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| 23 |
+
args:
|
| 24 |
+
num_few_shot: 25
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| 25 |
+
metrics:
|
| 26 |
+
- type: acc_norm
|
| 27 |
+
value: 70.65
|
| 28 |
+
name: normalized accuracy
|
| 29 |
+
source:
|
| 30 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Prima-LelantaclesV7-7b
|
| 31 |
+
name: Open LLM Leaderboard
|
| 32 |
+
- task:
|
| 33 |
+
type: text-generation
|
| 34 |
+
name: Text Generation
|
| 35 |
+
dataset:
|
| 36 |
+
name: HellaSwag (10-Shot)
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| 37 |
+
type: hellaswag
|
| 38 |
+
split: validation
|
| 39 |
+
args:
|
| 40 |
+
num_few_shot: 10
|
| 41 |
+
metrics:
|
| 42 |
+
- type: acc_norm
|
| 43 |
+
value: 87.94
|
| 44 |
+
name: normalized accuracy
|
| 45 |
+
source:
|
| 46 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Prima-LelantaclesV7-7b
|
| 47 |
+
name: Open LLM Leaderboard
|
| 48 |
+
- task:
|
| 49 |
+
type: text-generation
|
| 50 |
+
name: Text Generation
|
| 51 |
+
dataset:
|
| 52 |
+
name: MMLU (5-Shot)
|
| 53 |
+
type: cais/mmlu
|
| 54 |
+
config: all
|
| 55 |
+
split: test
|
| 56 |
+
args:
|
| 57 |
+
num_few_shot: 5
|
| 58 |
+
metrics:
|
| 59 |
+
- type: acc
|
| 60 |
+
value: 64.67
|
| 61 |
+
name: accuracy
|
| 62 |
+
source:
|
| 63 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Prima-LelantaclesV7-7b
|
| 64 |
+
name: Open LLM Leaderboard
|
| 65 |
+
- task:
|
| 66 |
+
type: text-generation
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| 67 |
+
name: Text Generation
|
| 68 |
+
dataset:
|
| 69 |
+
name: TruthfulQA (0-shot)
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| 70 |
+
type: truthful_qa
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| 71 |
+
config: multiple_choice
|
| 72 |
+
split: validation
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| 73 |
+
args:
|
| 74 |
+
num_few_shot: 0
|
| 75 |
+
metrics:
|
| 76 |
+
- type: mc2
|
| 77 |
+
value: 67.45
|
| 78 |
+
source:
|
| 79 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Prima-LelantaclesV7-7b
|
| 80 |
+
name: Open LLM Leaderboard
|
| 81 |
+
- task:
|
| 82 |
+
type: text-generation
|
| 83 |
+
name: Text Generation
|
| 84 |
+
dataset:
|
| 85 |
+
name: Winogrande (5-shot)
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| 86 |
+
type: winogrande
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| 87 |
+
config: winogrande_xl
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| 88 |
+
split: validation
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| 89 |
+
args:
|
| 90 |
+
num_few_shot: 5
|
| 91 |
+
metrics:
|
| 92 |
+
- type: acc
|
| 93 |
+
value: 84.69
|
| 94 |
+
name: accuracy
|
| 95 |
+
source:
|
| 96 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Prima-LelantaclesV7-7b
|
| 97 |
+
name: Open LLM Leaderboard
|
| 98 |
+
- task:
|
| 99 |
+
type: text-generation
|
| 100 |
+
name: Text Generation
|
| 101 |
+
dataset:
|
| 102 |
+
name: GSM8k (5-shot)
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| 103 |
+
type: gsm8k
|
| 104 |
+
config: main
|
| 105 |
+
split: test
|
| 106 |
+
args:
|
| 107 |
+
num_few_shot: 5
|
| 108 |
+
metrics:
|
| 109 |
+
- type: acc
|
| 110 |
+
value: 62.77
|
| 111 |
+
name: accuracy
|
| 112 |
+
source:
|
| 113 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Prima-LelantaclesV7-7b
|
| 114 |
+
name: Open LLM Leaderboard
|
| 115 |
+
---
|
| 116 |
+
|
| 117 |
+
# JustData/Prima-LelantaclesV7-experimental-7b-Q8_0-GGUF
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| 118 |
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This model was converted to GGUF format from [`ChaoticNeutrals/Prima-LelantaclesV7-experimental-7b`](https://huggingface.co/ChaoticNeutrals/Prima-LelantaclesV7-experimental-7b) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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| 119 |
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Refer to the [original model card](https://huggingface.co/ChaoticNeutrals/Prima-LelantaclesV7-experimental-7b) for more details on the model.
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| 120 |
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## Use with llama.cpp
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| 121 |
+
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| 122 |
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Install llama.cpp through brew.
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| 123 |
+
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| 124 |
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```bash
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| 125 |
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brew install ggerganov/ggerganov/llama.cpp
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| 126 |
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```
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| 127 |
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Invoke the llama.cpp server or the CLI.
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| 128 |
+
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| 129 |
+
CLI:
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| 130 |
+
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| 131 |
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```bash
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| 132 |
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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"
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| 133 |
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```
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| 134 |
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| 135 |
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Server:
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| 136 |
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| 137 |
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```bash
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| 138 |
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llama-server --hf-repo JustData/Prima-LelantaclesV7-experimental-7b-Q8_0-GGUF --model prima-lelantaclesv7-experimental-7b.Q8_0.gguf -c 2048
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| 139 |
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```
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| 140 |
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Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.
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| 142 |
+
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| 143 |
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```
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| 144 |
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git clone https://github.com/ggerganov/llama.cpp && cd llama.cpp && make && ./main -m prima-lelantaclesv7-experimental-7b.Q8_0.gguf -n 128
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| 145 |
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```
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