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
Upload folder using huggingface_hub
Browse files- outputs/tiny-50M/checkpoint-94/config.json +32 -0
- outputs/tiny-50M/checkpoint-94/generation_config.json +9 -0
- outputs/tiny-50M/checkpoint-94/model.safetensors +3 -0
- outputs/tiny-50M/checkpoint-94/optimizer.pt +3 -0
- outputs/tiny-50M/checkpoint-94/rng_state.pth +3 -0
- outputs/tiny-50M/checkpoint-94/scaler.pt +3 -0
- outputs/tiny-50M/checkpoint-94/scheduler.pt +3 -0
- outputs/tiny-50M/checkpoint-94/trainer_state.json +363 -0
- outputs/tiny-50M/model.safetensors +1 -1
outputs/tiny-50M/checkpoint-94/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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"pad_token_id": null,
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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": 500000.0,
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"rope_type": "default"
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},
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"tie_word_embeddings": false,
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"transformers_version": "5.17.0",
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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-94/generation_config.json
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{
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"_from_model_config": true,
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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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"transformers_version": "5.17.0",
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"use_cache": true
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}
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outputs/tiny-50M/checkpoint-94/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ae96028076b6e140e06e513f753332301f0815540e99342614f848b0b5f0890a
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size 223914096
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outputs/tiny-50M/checkpoint-94/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:7733ea084c434ec579f2f3cc4aee34b44190325f6f48362cfa246a0b6e81a92a
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size 447876619
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outputs/tiny-50M/checkpoint-94/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:61c19bab1174704a4a4441475683bf1270277af15d2e2c95e964789128e482c4
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size 14645
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outputs/tiny-50M/checkpoint-94/scaler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:72c69b9ecccfbb663d97b378e5433389943067b42ff8fd466b6c215d4f67bcb4
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size 1383
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outputs/tiny-50M/checkpoint-94/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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size 1465
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outputs/tiny-50M/checkpoint-94/trainer_state.json
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| 1 |
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{
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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| 11 |
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"log_history": [
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{
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"epoch": 0.021333333333333333,
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"grad_norm": 19.857784271240234,
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"learning_rate": 0.00029680851063829784,
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"loss": 8.839614868164062,
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"step": 2
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| 19 |
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{
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"epoch": 0.042666666666666665,
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"loss": 4.259130954742432,
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{
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"epoch": 0.064,
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"grad_norm": 7.085880279541016,
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"loss": 4.260076999664307,
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{
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