Instructions to use samdd00/btxml_v2 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 samdd00/btxml_v2 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 samdd00/btxml_v2 # Run inference directly in the terminal: llama cli -hf samdd00/btxml_v2
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf samdd00/btxml_v2 # Run inference directly in the terminal: llama cli -hf samdd00/btxml_v2
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf samdd00/btxml_v2 # Run inference directly in the terminal: ./build/bin/llama cli -hf samdd00/btxml_v2
Use Docker
docker model run hf.co/samdd00/btxml_v2
- Llama new
- LM Studio
- Jan
- Ollama
How to use samdd00/btxml_v2 with Ollama:
ollama run hf.co/samdd00/btxml_v2
- Unsloth Desktop
- Docker Model Runner
How to use samdd00/btxml_v2 with Docker Model Runner:
docker model run hf.co/samdd00/btxml_v2
- Lemonade
How to use samdd00/btxml_v2 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull samdd00/btxml_v2
Run and chat with the model
lemonade run user.btxml_v2-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
File size: 734 Bytes
1afa31a | 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 | {
"_name_or_path": "meta-llama/Meta-Llama-3-8B-Instruct",
"architectures": [
"LlamaForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"bos_token_id": 128000,
"eos_token_id": 128009,
"hidden_act": "silu",
"hidden_size": 4096,
"initializer_range": 0.02,
"intermediate_size": 14336,
"max_position_embeddings": 8192,
"model_type": "llama",
"num_attention_heads": 32,
"num_hidden_layers": 32,
"num_key_value_heads": 8,
"pretraining_tp": 1,
"rms_norm_eps": 1e-05,
"rope_scaling": null,
"rope_theta": 500000.0,
"tie_word_embeddings": false,
"torch_dtype": "float16",
"transformers_version": "4.40.1",
"use_cache": true,
"vocab_size": 128256
}
|