Instructions to use sriram882004/SQL-Socratic-Models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use sriram882004/SQL-Socratic-Models with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="sriram882004/SQL-Socratic-Models", filename="gemma2/gemma2_9b__fft__base__masked/gguf/gemma2_9b__fft__base__masked_q8_0.gguf", )
output = llm( "Once upon a time,", max_tokens=512, echo=True ) print(output)
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use sriram882004/SQL-Socratic-Models with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf sriram882004/SQL-Socratic-Models:Q8_0 # Run inference directly in the terminal: llama-cli -hf sriram882004/SQL-Socratic-Models:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf sriram882004/SQL-Socratic-Models:Q8_0 # Run inference directly in the terminal: llama-cli -hf sriram882004/SQL-Socratic-Models: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 sriram882004/SQL-Socratic-Models:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf sriram882004/SQL-Socratic-Models: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 sriram882004/SQL-Socratic-Models:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf sriram882004/SQL-Socratic-Models:Q8_0
Use Docker
docker model run hf.co/sriram882004/SQL-Socratic-Models:Q8_0
- LM Studio
- Jan
- Ollama
How to use sriram882004/SQL-Socratic-Models with Ollama:
ollama run hf.co/sriram882004/SQL-Socratic-Models:Q8_0
- Unsloth Studio new
How to use sriram882004/SQL-Socratic-Models with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for sriram882004/SQL-Socratic-Models to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for sriram882004/SQL-Socratic-Models to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for sriram882004/SQL-Socratic-Models to start chatting
- Docker Model Runner
How to use sriram882004/SQL-Socratic-Models with Docker Model Runner:
docker model run hf.co/sriram882004/SQL-Socratic-Models:Q8_0
- Lemonade
How to use sriram882004/SQL-Socratic-Models with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull sriram882004/SQL-Socratic-Models:Q8_0
Run and chat with the model
lemonade run user.SQL-Socratic-Models-Q8_0
List all available models
lemonade list
File size: 2,933 Bytes
242b96a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 | {
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"add_eos_token": false,
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"added_tokens_decoder": {
"0": {
"content": "<unk>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"1": {
"content": "<s>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"2": {
"content": "</s>",
"lstrip": false,
"normalized": false,
"rstrip": true,
"single_word": false,
"special": false
},
"32000": {
"content": "<|endoftext|>",
"lstrip": false,
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"rstrip": false,
"single_word": false,
"special": true
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"32001": {
"content": "<|assistant|>",
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"sp_model_kwargs": {},
"tokenizer_class": "LlamaTokenizer",
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"use_default_system_prompt": false
}
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