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
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 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
- Llama new
- 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/base-1B/checkpoint-375/config.json +32 -0
- outputs/base-1B/checkpoint-375/generation_config.json +9 -0
- outputs/base-1B/checkpoint-375/model.safetensors +3 -0
- outputs/base-1B/checkpoint-375/optimizer.pt +3 -0
- outputs/base-1B/checkpoint-375/rng_state.pth +3 -0
- outputs/base-1B/checkpoint-375/scaler.pt +3 -0
- outputs/base-1B/checkpoint-375/scheduler.pt +3 -0
- outputs/base-1B/checkpoint-375/trainer_state.json +1343 -0
- outputs/base-1B/config.json +32 -0
- outputs/base-1B/generation_config.json +9 -0
- outputs/base-1B/model.safetensors +3 -0
outputs/base-1B/checkpoint-375/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": 2048,
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"initializer_range": 0.02,
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"intermediate_size": 5632,
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"max_position_embeddings": 1024,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 22,
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"num_key_value_heads": 8,
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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": "5.18.0",
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"use_cache": false,
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"vocab_size": 32000
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}
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outputs/base-1B/checkpoint-375/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": "5.18.0",
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"use_cache": true
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}
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outputs/base-1B/checkpoint-375/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:1f64fda88b04b6949958cb2c52771901ff223001f9f43632025d7e6e917cc636
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size 4492491224
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outputs/base-1B/checkpoint-375/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:fe2acfc18b16950ac31db8bc66e7f7c71be1cc3a5cb160aa5d9a7e621a57f63f
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size 2673263115
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outputs/base-1B/checkpoint-375/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:f4a9f217e852f439efa6bd32fde98d6867f11aa6ea13ddc021ba10af6a0b0934
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size 14645
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outputs/base-1B/checkpoint-375/scaler.pt
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outputs/base-1B/checkpoint-375/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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outputs/base-1B/checkpoint-375/trainer_state.json
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|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 3.0,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 375,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.016,
|
| 14 |
+
"grad_norm": 91.25221252441406,
|
| 15 |
+
"learning_rate": 0.00019946666666666667,
|
| 16 |
+
"loss": 11.301910400390625,
|
| 17 |
+
"step": 2
|
| 18 |
+
},
|
| 19 |
+
{
|
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outputs/base-1B/generation_config.json
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