Text Generation
Transformers
Safetensors
GGUF
English
code
code-generation
multimodal
llama
conversational
Instructions to use mrsandip/Alfa-Code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrsandip/Alfa-Code with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="mrsandip/Alfa-Code")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mrsandip/Alfa-Code", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use mrsandip/Alfa-Code 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 mrsandip/Alfa-Code:Q4_0 # Run inference directly in the terminal: llama cli -hf mrsandip/Alfa-Code:Q4_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf mrsandip/Alfa-Code:Q4_0 # Run inference directly in the terminal: llama cli -hf mrsandip/Alfa-Code:Q4_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 mrsandip/Alfa-Code:Q4_0 # Run inference directly in the terminal: ./llama-cli -hf mrsandip/Alfa-Code:Q4_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 mrsandip/Alfa-Code:Q4_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf mrsandip/Alfa-Code:Q4_0
Use Docker
docker model run hf.co/mrsandip/Alfa-Code:Q4_0
- LM Studio
- Jan
- vLLM
How to use mrsandip/Alfa-Code with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "mrsandip/Alfa-Code" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "mrsandip/Alfa-Code", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/mrsandip/Alfa-Code:Q4_0
- SGLang
How to use mrsandip/Alfa-Code with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "mrsandip/Alfa-Code" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "mrsandip/Alfa-Code", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "mrsandip/Alfa-Code" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "mrsandip/Alfa-Code", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Ollama
How to use mrsandip/Alfa-Code with Ollama:
ollama run hf.co/mrsandip/Alfa-Code:Q4_0
- Unsloth Desktop
- Docker Model Runner
How to use mrsandip/Alfa-Code with Docker Model Runner:
docker model run hf.co/mrsandip/Alfa-Code:Q4_0
- Lemonade
How to use mrsandip/Alfa-Code with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull mrsandip/Alfa-Code:Q4_0
Run and chat with the model
lemonade run user.Alfa-Code-Q4_0
List all available models
lemonade list
- Atomic Chat
Add trained tiny-50M 3 epochs loss 3.8
Browse files- outputs/tiny-50M/checkpoint-189/config.json +32 -0
- outputs/tiny-50M/checkpoint-189/generation_config.json +9 -0
- outputs/tiny-50M/checkpoint-189/model.safetensors +3 -0
- outputs/tiny-50M/checkpoint-189/optimizer.pt +3 -0
- outputs/tiny-50M/checkpoint-189/rng_state.pth +3 -0
- outputs/tiny-50M/checkpoint-189/scheduler.pt +3 -0
- outputs/tiny-50M/checkpoint-189/trainer_state.json +293 -0
- outputs/tiny-50M/model.safetensors +1 -1
outputs/tiny-50M/checkpoint-189/config.json
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{
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"dtype": "float32",
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"eos_token_id": 2,
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"head_dim": 64,
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"hidden_act": "silu",
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"hidden_size": 512,
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"initializer_range": 0.02,
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"intermediate_size": 1376,
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"max_position_embeddings": 2048,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 8,
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"num_hidden_layers": 8,
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"num_key_value_heads": 4,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-06,
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"rope_parameters": {
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"rope_theta": 10000.0,
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"rope_type": "default"
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"tie_word_embeddings": false,
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"transformers_version": "5.18.0",
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"use_cache": false,
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"vocab_size": 32000
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}
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outputs/tiny-50M/checkpoint-189/generation_config.json
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"bos_token_id": 1,
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"eos_token_id": 2,
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"output_attentions": false,
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"output_hidden_states": false,
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outputs/tiny-50M/checkpoint-189/model.safetensors
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oid sha256:8a5deb780bae879f426b6a3efb1796f622277eb706b0cc3cbedee5935da3bae4
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outputs/tiny-50M/checkpoint-189/optimizer.pt
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outputs/tiny-50M/checkpoint-189/rng_state.pth
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outputs/tiny-50M/checkpoint-189/scheduler.pt
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outputs/tiny-50M/checkpoint-189/trainer_state.json
ADDED
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