Instructions to use flyingfishinwater/good_and_small_models 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 flyingfishinwater/good_and_small_models 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 flyingfishinwater/good_and_small_models:Q4_K_M # Run inference directly in the terminal: llama cli -hf flyingfishinwater/good_and_small_models:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf flyingfishinwater/good_and_small_models:Q4_K_M # Run inference directly in the terminal: llama cli -hf flyingfishinwater/good_and_small_models: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 flyingfishinwater/good_and_small_models:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf flyingfishinwater/good_and_small_models: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 flyingfishinwater/good_and_small_models:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf flyingfishinwater/good_and_small_models:Q4_K_M
Use Docker
docker model run hf.co/flyingfishinwater/good_and_small_models:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use flyingfishinwater/good_and_small_models with Ollama:
ollama run hf.co/flyingfishinwater/good_and_small_models:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use flyingfishinwater/good_and_small_models with Docker Model Runner:
docker model run hf.co/flyingfishinwater/good_and_small_models:Q4_K_M
- Lemonade
How to use flyingfishinwater/good_and_small_models with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull flyingfishinwater/good_and_small_models:Q4_K_M
Run and chat with the model
lemonade run user.good_and_small_models-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Upload models.json
Browse files- models.json +46 -0
models.json
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"developer_url": "https://huggingface.co/google",
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"prompt_format" : "<bos><start_of_turn>user\n{{prompt}}<end_of_turn>\n<start_of_turn>model\n",
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"developer_url": "https://erichartford.com/",
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"add_bos_token": true,
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}
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]
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"add_bos_token": true,
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"parse_special_tokens": true
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},
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{
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"id": "WizardLM-2-7B.Q3_K_M",
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"model_title": "WizardLM-2 7B",
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"model_file": "WizardLM-2-7B.Q3_K_M.gguf",
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"model_url": "https://huggingface.co/flyingfishinwater/goodmodels/resolve/main/WizardLM-2-7B.Q3_K_M.gguf?download=true",
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"model_info_url": "https://huggingface.co/MaziyarPanahi/WizardLM-2-7B-GGUF",
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"model_avatar": "logo_phi",
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"model_intention": "It's a state-of-the-art large language model with improved performance on complex chat, multilingual, reasoning and agent.",
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"model_license": "license_apache2.txt",
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"model_license_info": "APACHE LICENSE, VERSION 2.0",
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"model_license_url": "https://www.apache.org/licenses/LICENSE-2.0",
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"model_description": "The WizardLM-2 is one of the next generation state-of-the-art large language models, which have improved performance on complex chat, multilingual, reasoning and agent.",
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"developer": "Eric Hartford and Cognitive Computations",
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"developer_url": "https://huggingface.co/collections/microsoft/wizardlm-661d403f71e6c8257dbd598a",
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"prompt_format" : "A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. \nUSER: {{prompt}}\nASSISTANT: ",
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"top_k" : 5,
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"top_p" : 0.9,
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"model_inference" : "llama",
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"n_batch" : 10,
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"template_name" : "chatml",
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"is_ready": true,
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"is_internal": false,
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"use_metal": true,
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"mlock": false,
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"mmap": true,
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"repeat_last_n": 64,
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"repeat_penalty": 1.2,
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"add_bos_token": true,
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"add_eos_token": false,
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"parse_special_tokens": true
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}
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]
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