Instructions to use diegoquinteiro/SmolLM2-135M-Observable with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use diegoquinteiro/SmolLM2-135M-Observable with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-generation', 'diegoquinteiro/SmolLM2-135M-Observable');
| { | |
| "model_id": "HuggingFaceTB/SmolLM2-135M", | |
| "model_file": "model_observable_vectors_q4.onnx", | |
| "model_bytes": 216918299, | |
| "quantization": { | |
| "bits": 4, | |
| "block_size": 32, | |
| "symmetric": false | |
| }, | |
| "architecture": { | |
| "layers": 30, | |
| "attention_heads": 9, | |
| "key_value_heads": 3, | |
| "hidden_size": 576, | |
| "vocabulary_size": 49152 | |
| }, | |
| "inputs": [ | |
| "input_ids", | |
| "attention_mask", | |
| "query_index" | |
| ], | |
| "outputs": [ | |
| "next_token_logits", | |
| "hidden_state_00", | |
| "hidden_state_01", | |
| "hidden_state_02", | |
| "hidden_state_03", | |
| "hidden_state_04", | |
| "hidden_state_05", | |
| "hidden_state_06", | |
| "hidden_state_07", | |
| "hidden_state_08", | |
| "hidden_state_09", | |
| "hidden_state_10", | |
| "hidden_state_11", | |
| "hidden_state_12", | |
| "hidden_state_13", | |
| "hidden_state_14", | |
| "hidden_state_15", | |
| "hidden_state_16", | |
| "hidden_state_17", | |
| "hidden_state_18", | |
| "hidden_state_19", | |
| "hidden_state_20", | |
| "hidden_state_21", | |
| "hidden_state_22", | |
| "hidden_state_23", | |
| "hidden_state_24", | |
| "hidden_state_25", | |
| "hidden_state_26", | |
| "hidden_state_27", | |
| "hidden_state_28", | |
| "hidden_state_29", | |
| "hidden_state_30", | |
| "attention_01", | |
| "attention_02", | |
| "attention_03", | |
| "attention_04", | |
| "attention_05", | |
| "attention_06", | |
| "attention_07", | |
| "attention_08", | |
| "attention_09", | |
| "attention_10", | |
| "attention_11", | |
| "attention_12", | |
| "attention_13", | |
| "attention_14", | |
| "attention_15", | |
| "attention_16", | |
| "attention_17", | |
| "attention_18", | |
| "attention_19", | |
| "attention_20", | |
| "attention_21", | |
| "attention_22", | |
| "attention_23", | |
| "attention_24", | |
| "attention_25", | |
| "attention_26", | |
| "attention_27", | |
| "attention_28", | |
| "attention_29", | |
| "attention_30", | |
| "attention_contribution_01", | |
| "attention_contribution_02", | |
| "attention_contribution_03", | |
| "attention_contribution_04", | |
| "attention_contribution_05", | |
| "attention_contribution_06", | |
| "attention_contribution_07", | |
| "attention_contribution_08", | |
| "attention_contribution_09", | |
| "attention_contribution_10", | |
| "attention_contribution_11", | |
| "attention_contribution_12", | |
| "attention_contribution_13", | |
| "attention_contribution_14", | |
| "attention_contribution_15", | |
| "attention_contribution_16", | |
| "attention_contribution_17", | |
| "attention_contribution_18", | |
| "attention_contribution_19", | |
| "attention_contribution_20", | |
| "attention_contribution_21", | |
| "attention_contribution_22", | |
| "attention_contribution_23", | |
| "attention_contribution_24", | |
| "attention_contribution_25", | |
| "attention_contribution_26", | |
| "attention_contribution_27", | |
| "attention_contribution_28", | |
| "attention_contribution_29", | |
| "attention_contribution_30", | |
| "counterfactual_hidden_state_01", | |
| "counterfactual_hidden_state_02", | |
| "counterfactual_hidden_state_03", | |
| "counterfactual_hidden_state_04", | |
| "counterfactual_hidden_state_05", | |
| "counterfactual_hidden_state_06", | |
| "counterfactual_hidden_state_07", | |
| "counterfactual_hidden_state_08", | |
| "counterfactual_hidden_state_09", | |
| "counterfactual_hidden_state_10", | |
| "counterfactual_hidden_state_11", | |
| "counterfactual_hidden_state_12", | |
| "counterfactual_hidden_state_13", | |
| "counterfactual_hidden_state_14", | |
| "counterfactual_hidden_state_15", | |
| "counterfactual_hidden_state_16", | |
| "counterfactual_hidden_state_17", | |
| "counterfactual_hidden_state_18", | |
| "counterfactual_hidden_state_19", | |
| "counterfactual_hidden_state_20", | |
| "counterfactual_hidden_state_21", | |
| "counterfactual_hidden_state_22", | |
| "counterfactual_hidden_state_23", | |
| "counterfactual_hidden_state_24", | |
| "counterfactual_hidden_state_25", | |
| "counterfactual_hidden_state_26", | |
| "counterfactual_hidden_state_27", | |
| "counterfactual_hidden_state_28", | |
| "counterfactual_hidden_state_29", | |
| "counterfactual_hidden_state_30", | |
| "attention_output_01", | |
| "attention_output_02", | |
| "attention_output_03", | |
| "attention_output_04", | |
| "attention_output_05", | |
| "attention_output_06", | |
| "attention_output_07", | |
| "attention_output_08", | |
| "attention_output_09", | |
| "attention_output_10", | |
| "attention_output_11", | |
| "attention_output_12", | |
| "attention_output_13", | |
| "attention_output_14", | |
| "attention_output_15", | |
| "attention_output_16", | |
| "attention_output_17", | |
| "attention_output_18", | |
| "attention_output_19", | |
| "attention_output_20", | |
| "attention_output_21", | |
| "attention_output_22", | |
| "attention_output_23", | |
| "attention_output_24", | |
| "attention_output_25", | |
| "attention_output_26", | |
| "attention_output_27", | |
| "attention_output_28", | |
| "attention_output_29", | |
| "attention_output_30", | |
| "mlp_output_01", | |
| "mlp_output_02", | |
| "mlp_output_03", | |
| "mlp_output_04", | |
| "mlp_output_05", | |
| "mlp_output_06", | |
| "mlp_output_07", | |
| "mlp_output_08", | |
| "mlp_output_09", | |
| "mlp_output_10", | |
| "mlp_output_11", | |
| "mlp_output_12", | |
| "mlp_output_13", | |
| "mlp_output_14", | |
| "mlp_output_15", | |
| "mlp_output_16", | |
| "mlp_output_17", | |
| "mlp_output_18", | |
| "mlp_output_19", | |
| "mlp_output_20", | |
| "mlp_output_21", | |
| "mlp_output_22", | |
| "mlp_output_23", | |
| "mlp_output_24", | |
| "mlp_output_25", | |
| "mlp_output_26", | |
| "mlp_output_27", | |
| "mlp_output_28", | |
| "mlp_output_29", | |
| "mlp_output_30" | |
| ], | |
| "validation_prompt": "Context changes the next token", | |
| "validation": { | |
| "outputs": 182, | |
| "top_10_overlap": 9, | |
| "manual_vs_transformers_max_logit_error": 3.0517578125e-05, | |
| "onnx_max_logit_error": 4.329092025756836, | |
| "last_hidden_mean_cosine": 0.8809197545051575, | |
| "float_attention_sum_max_error": 6.103515625e-05, | |
| "float_layer_identity_max_error": 0.0, | |
| "onnx_attention_sum_max_error": 1.9073486328125e-05, | |
| "onnx_layer_identity_max_error": 0.0, | |
| "onnx_counterfactual_max_error": 44.02360534667969, | |
| "onnx_counterfactual_mean_cosine": 0.9895740747451782, | |
| "logits_shape": [ | |
| 1, | |
| 49152 | |
| ], | |
| "hidden_shape": [ | |
| 1, | |
| 5, | |
| 576 | |
| ], | |
| "attention_shape": [ | |
| 1, | |
| 9, | |
| 5 | |
| ], | |
| "contribution_shape": [ | |
| 1, | |
| 5, | |
| 576 | |
| ], | |
| "counterfactual_shape": [ | |
| 1, | |
| 5, | |
| 576 | |
| ], | |
| "vector_shape": [ | |
| 1, | |
| 576 | |
| ] | |
| } | |
| } | |