Instructions to use dcostenco/prism-coder-14b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use dcostenco/prism-coder-14b with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="dcostenco/prism-coder-14b", filename="prism-aac-14b-q4km.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 dcostenco/prism-coder-14b with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf dcostenco/prism-coder-14b # Run inference directly in the terminal: llama-cli -hf dcostenco/prism-coder-14b
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf dcostenco/prism-coder-14b # Run inference directly in the terminal: llama-cli -hf dcostenco/prism-coder-14b
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 dcostenco/prism-coder-14b # Run inference directly in the terminal: ./llama-cli -hf dcostenco/prism-coder-14b
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 dcostenco/prism-coder-14b # Run inference directly in the terminal: ./build/bin/llama-cli -hf dcostenco/prism-coder-14b
Use Docker
docker model run hf.co/dcostenco/prism-coder-14b
- LM Studio
- Jan
- Ollama
How to use dcostenco/prism-coder-14b with Ollama:
ollama run hf.co/dcostenco/prism-coder-14b
- Unsloth Studio
How to use dcostenco/prism-coder-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 dcostenco/prism-coder-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 dcostenco/prism-coder-14b to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for dcostenco/prism-coder-14b to start chatting
- Pi
How to use dcostenco/prism-coder-14b with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf dcostenco/prism-coder-14b
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "dcostenco/prism-coder-14b" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use dcostenco/prism-coder-14b with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf dcostenco/prism-coder-14b
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default dcostenco/prism-coder-14b
Run Hermes
hermes
- Docker Model Runner
How to use dcostenco/prism-coder-14b with Docker Model Runner:
docker model run hf.co/dcostenco/prism-coder-14b
- Lemonade
How to use dcostenco/prism-coder-14b with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull dcostenco/prism-coder-14b
Run and chat with the model
lemonade run user.prism-coder-14b-{{QUANT_TAG}}List all available models
lemonade list
Remove old file: config.json
Browse files- config.json +0 -81
config.json
DELETED
|
@@ -1,81 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"architectures": [
|
| 3 |
-
"Qwen2ForCausalLM"
|
| 4 |
-
],
|
| 5 |
-
"attention_dropout": 0.0,
|
| 6 |
-
"bos_token_id": 151643,
|
| 7 |
-
"dtype": "bfloat16",
|
| 8 |
-
"eos_token_id": 151645,
|
| 9 |
-
"hidden_act": "silu",
|
| 10 |
-
"hidden_size": 5120,
|
| 11 |
-
"initializer_range": 0.02,
|
| 12 |
-
"intermediate_size": 13824,
|
| 13 |
-
"layer_types": [
|
| 14 |
-
"full_attention",
|
| 15 |
-
"full_attention",
|
| 16 |
-
"full_attention",
|
| 17 |
-
"full_attention",
|
| 18 |
-
"full_attention",
|
| 19 |
-
"full_attention",
|
| 20 |
-
"full_attention",
|
| 21 |
-
"full_attention",
|
| 22 |
-
"full_attention",
|
| 23 |
-
"full_attention",
|
| 24 |
-
"full_attention",
|
| 25 |
-
"full_attention",
|
| 26 |
-
"full_attention",
|
| 27 |
-
"full_attention",
|
| 28 |
-
"full_attention",
|
| 29 |
-
"full_attention",
|
| 30 |
-
"full_attention",
|
| 31 |
-
"full_attention",
|
| 32 |
-
"full_attention",
|
| 33 |
-
"full_attention",
|
| 34 |
-
"full_attention",
|
| 35 |
-
"full_attention",
|
| 36 |
-
"full_attention",
|
| 37 |
-
"full_attention",
|
| 38 |
-
"full_attention",
|
| 39 |
-
"full_attention",
|
| 40 |
-
"full_attention",
|
| 41 |
-
"full_attention",
|
| 42 |
-
"full_attention",
|
| 43 |
-
"full_attention",
|
| 44 |
-
"full_attention",
|
| 45 |
-
"full_attention",
|
| 46 |
-
"full_attention",
|
| 47 |
-
"full_attention",
|
| 48 |
-
"full_attention",
|
| 49 |
-
"full_attention",
|
| 50 |
-
"full_attention",
|
| 51 |
-
"full_attention",
|
| 52 |
-
"full_attention",
|
| 53 |
-
"full_attention",
|
| 54 |
-
"full_attention",
|
| 55 |
-
"full_attention",
|
| 56 |
-
"full_attention",
|
| 57 |
-
"full_attention",
|
| 58 |
-
"full_attention",
|
| 59 |
-
"full_attention",
|
| 60 |
-
"full_attention",
|
| 61 |
-
"full_attention"
|
| 62 |
-
],
|
| 63 |
-
"max_position_embeddings": 32768,
|
| 64 |
-
"max_window_layers": 48,
|
| 65 |
-
"model_type": "qwen2",
|
| 66 |
-
"num_attention_heads": 40,
|
| 67 |
-
"num_hidden_layers": 48,
|
| 68 |
-
"num_key_value_heads": 8,
|
| 69 |
-
"pad_token_id": null,
|
| 70 |
-
"rms_norm_eps": 1e-06,
|
| 71 |
-
"rope_parameters": {
|
| 72 |
-
"rope_theta": 1000000.0,
|
| 73 |
-
"rope_type": "default"
|
| 74 |
-
},
|
| 75 |
-
"sliding_window": null,
|
| 76 |
-
"tie_word_embeddings": false,
|
| 77 |
-
"transformers_version": "5.5.4",
|
| 78 |
-
"use_cache": true,
|
| 79 |
-
"use_sliding_window": false,
|
| 80 |
-
"vocab_size": 152064
|
| 81 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|