Time Series Forecasting
Transformers
Safetensors
Timer-S1
text-generation
time series
time-series
forecasting
foundation models
pretrained models
time series foundation models
quantized
4-bit precision
bitsandbytes
unofficial
custom_code
Instructions to use geetu040/Timer-S1-quantized-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use geetu040/Timer-S1-quantized-4bit with Transformers:
# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("geetu040/Timer-S1-quantized-4bit", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "TimerS1ForPrediction" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "configuration_TimerS1.TimerS1Config", | |
| "AutoModelForCausalLM": "modeling_TimerS1.TimerS1ForPrediction" | |
| }, | |
| "dropout_rate": 0.1, | |
| "dtype": "bfloat16", | |
| "hidden_act": "silu", | |
| "hidden_size": 1024, | |
| "initializer_range": 0.02, | |
| "input_token_len": 16, | |
| "intermediate_size": 4096, | |
| "max_position_embeddings": 12800, | |
| "model_type": "Timer-S1", | |
| "num_attention_heads": 16, | |
| "num_experts": 32, | |
| "num_experts_per_token": 2, | |
| "num_hidden_layers": 24, | |
| "num_mtp_tokens": 16, | |
| "output_token_lens": [ | |
| 16 | |
| ], | |
| "quantiles": [ | |
| 0.1, | |
| 0.2, | |
| 0.3, | |
| 0.4, | |
| 0.5, | |
| 0.6, | |
| 0.7, | |
| 0.8, | |
| 0.9 | |
| ], | |
| "quantization_config": { | |
| "_load_in_4bit": true, | |
| "_load_in_8bit": false, | |
| "bnb_4bit_compute_dtype": "bfloat16", | |
| "bnb_4bit_quant_storage": "uint8", | |
| "bnb_4bit_quant_type": "fp4", | |
| "bnb_4bit_use_double_quant": false, | |
| "llm_int8_enable_fp32_cpu_offload": false, | |
| "llm_int8_has_fp16_weight": false, | |
| "llm_int8_skip_modules": null, | |
| "llm_int8_threshold": 6.0, | |
| "load_in_4bit": true, | |
| "load_in_8bit": false, | |
| "quant_method": "bitsandbytes" | |
| }, | |
| "rope_theta": 10000, | |
| "transformers_version": "4.57.6", | |
| "use_cache": true | |
| } | |