Instructions to use klei1/Bleta-14B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use klei1/Bleta-14B with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="klei1/Bleta-14B", filename="unsloth.BF16.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use klei1/Bleta-14B with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf klei1/Bleta-14B:BF16 # Run inference directly in the terminal: llama-cli -hf klei1/Bleta-14B:BF16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf klei1/Bleta-14B:BF16 # Run inference directly in the terminal: llama-cli -hf klei1/Bleta-14B:BF16
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 klei1/Bleta-14B:BF16 # Run inference directly in the terminal: ./llama-cli -hf klei1/Bleta-14B:BF16
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 klei1/Bleta-14B:BF16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf klei1/Bleta-14B:BF16
Use Docker
docker model run hf.co/klei1/Bleta-14B:BF16
- LM Studio
- Jan
- Ollama
How to use klei1/Bleta-14B with Ollama:
ollama run hf.co/klei1/Bleta-14B:BF16
- Unsloth Studio
How to use klei1/Bleta-14B 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 klei1/Bleta-14B 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 klei1/Bleta-14B to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for klei1/Bleta-14B to start chatting
- Atomic Chat new
- Docker Model Runner
How to use klei1/Bleta-14B with Docker Model Runner:
docker model run hf.co/klei1/Bleta-14B:BF16
- Lemonade
How to use klei1/Bleta-14B with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull klei1/Bleta-14B:BF16
Run and chat with the model
lemonade run user.Bleta-14B-BF16
List all available models
lemonade list
File size: 3,252 Bytes
142a750 | 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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"rstrip": false,
"single_word": false,
"special": true
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"content": "<s>",
"lstrip": false,
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"rstrip": false,
"single_word": false,
"special": true
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"2": {
"content": "</s>",
"lstrip": false,
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"rstrip": true,
"single_word": false,
"special": false
},
"32000": {
"content": "<|endoftext|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"32001": {
"content": "<|assistant|>",
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"content": "<|placeholder1|>",
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},
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"chat_template": "{% for message in messages %}{% if message['role'] == 'user' %}{{'<|user|>\n' + message['content'] + '<|end|>\n'}}{% elif message['role'] == 'assistant' %}{{'<|assistant|>\n' + message['content'] + '<|end|>\n'}}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|assistant|>\n' }}{% else %}{{ eos_token }}{% endif %}",
"clean_up_tokenization_spaces": false,
"eos_token": "<|endoftext|>",
"legacy": false,
"model_max_length": 4096,
"pad_token": "<|placeholder6|>",
"padding_side": "left",
"sp_model_kwargs": {},
"tokenizer_class": "LlamaTokenizer",
"unk_token": "<unk>",
"use_default_system_prompt": false
}
|