Download config.json from llmtech/decider-4b-fp8: direct link, hf CLI and curl.
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https://huggingface.co/llmtech/decider-4b-fp8/resolve/main/config.json
- Command line
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hf download hf://llmtech/decider-4b-fp8/config.json
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curl -L -o config.json https://huggingface.co/llmtech/decider-4b-fp8/resolve/main/config.json
6.25 kB
| { | |
| "architectures": [ | |
| "Qwen3_5ForCausalLM" | |
| ], | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "attn_output_gate": true, | |
| "bos_token_id": null, | |
| "dtype": "bfloat16", | |
| "eos_token_id": 248044, | |
| "full_attention_interval": 4, | |
| "head_dim": 256, | |
| "hidden_act": "silu", | |
| "hidden_size": 2560, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 9216, | |
| "layer_types": [ | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention" | |
| ], | |
| "linear_conv_kernel_dim": 4, | |
| "linear_key_head_dim": 128, | |
| "linear_num_key_heads": 16, | |
| "linear_num_value_heads": 32, | |
| "linear_value_head_dim": 128, | |
| "mamba_ssm_dtype": "float32", | |
| "max_position_embeddings": 262144, | |
| "mlp_only_layers": [], | |
| "model_type": "qwen3_5_text", | |
| "mtp_num_hidden_layers": 1, | |
| "mtp_use_dedicated_embeddings": false, | |
| "num_attention_heads": 16, | |
| "num_hidden_layers": 32, | |
| "num_key_value_heads": 4, | |
| "pad_token_id": null, | |
| "partial_rotary_factor": 0.25, | |
| "quantization_config": { | |
| "config_groups": { | |
| "group_0": { | |
| "format": "float-quantized", | |
| "input_activations": { | |
| "actorder": null, | |
| "block_structure": null, | |
| "dynamic": true, | |
| "group_size": null, | |
| "num_bits": 8, | |
| "observer": null, | |
| "observer_kwargs": {}, | |
| "scale_dtype": null, | |
| "strategy": "token", | |
| "symmetric": true, | |
| "type": "float", | |
| "zp_dtype": null | |
| }, | |
| "output_activations": null, | |
| "targets": [ | |
| "Linear" | |
| ], | |
| "weights": { | |
| "actorder": null, | |
| "block_structure": null, | |
| "dynamic": false, | |
| "group_size": null, | |
| "num_bits": 8, | |
| "observer": "memoryless_minmax", | |
| "observer_kwargs": {}, | |
| "scale_dtype": null, | |
| "strategy": "channel", | |
| "symmetric": true, | |
| "type": "float", | |
| "zp_dtype": null | |
| } | |
| } | |
| }, | |
| "format": "float-quantized", | |
| "global_compression_ratio": null, | |
| "ignore": [ | |
| "model.language_model.layers.0.linear_attn.in_proj_b", | |
| "model.language_model.layers.0.linear_attn.in_proj_a", | |
| "model.language_model.layers.1.linear_attn.in_proj_b", | |
| "model.language_model.layers.1.linear_attn.in_proj_a", | |
| "model.language_model.layers.2.linear_attn.in_proj_b", | |
| "model.language_model.layers.2.linear_attn.in_proj_a", | |
| "model.language_model.layers.4.linear_attn.in_proj_b", | |
| "model.language_model.layers.4.linear_attn.in_proj_a", | |
| "model.language_model.layers.5.linear_attn.in_proj_b", | |
| "model.language_model.layers.5.linear_attn.in_proj_a", | |
| "model.language_model.layers.6.linear_attn.in_proj_b", | |
| "model.language_model.layers.6.linear_attn.in_proj_a", | |
| "model.language_model.layers.8.linear_attn.in_proj_b", | |
| "model.language_model.layers.8.linear_attn.in_proj_a", | |
| "model.language_model.layers.9.linear_attn.in_proj_b", | |
| "model.language_model.layers.9.linear_attn.in_proj_a", | |
| "model.language_model.layers.10.linear_attn.in_proj_b", | |
| "model.language_model.layers.10.linear_attn.in_proj_a", | |
| "model.language_model.layers.12.linear_attn.in_proj_b", | |
| "model.language_model.layers.12.linear_attn.in_proj_a", | |
| "model.language_model.layers.13.linear_attn.in_proj_b", | |
| "model.language_model.layers.13.linear_attn.in_proj_a", | |
| "model.language_model.layers.14.linear_attn.in_proj_b", | |
| "model.language_model.layers.14.linear_attn.in_proj_a", | |
| "model.language_model.layers.16.linear_attn.in_proj_b", | |
| "model.language_model.layers.16.linear_attn.in_proj_a", | |
| "model.language_model.layers.17.linear_attn.in_proj_b", | |
| "model.language_model.layers.17.linear_attn.in_proj_a", | |
| "model.language_model.layers.18.linear_attn.in_proj_b", | |
| "model.language_model.layers.18.linear_attn.in_proj_a", | |
| "model.language_model.layers.20.linear_attn.in_proj_b", | |
| "model.language_model.layers.20.linear_attn.in_proj_a", | |
| "model.language_model.layers.21.linear_attn.in_proj_b", | |
| "model.language_model.layers.21.linear_attn.in_proj_a", | |
| "model.language_model.layers.22.linear_attn.in_proj_b", | |
| "model.language_model.layers.22.linear_attn.in_proj_a", | |
| "model.language_model.layers.24.linear_attn.in_proj_b", | |
| "model.language_model.layers.24.linear_attn.in_proj_a", | |
| "model.language_model.layers.25.linear_attn.in_proj_b", | |
| "model.language_model.layers.25.linear_attn.in_proj_a", | |
| "model.language_model.layers.26.linear_attn.in_proj_b", | |
| "model.language_model.layers.26.linear_attn.in_proj_a", | |
| "model.language_model.layers.28.linear_attn.in_proj_b", | |
| "model.language_model.layers.28.linear_attn.in_proj_a", | |
| "model.language_model.layers.29.linear_attn.in_proj_b", | |
| "model.language_model.layers.29.linear_attn.in_proj_a", | |
| "model.language_model.layers.30.linear_attn.in_proj_b", | |
| "model.language_model.layers.30.linear_attn.in_proj_a", | |
| "lm_head" | |
| ], | |
| "kv_cache_scheme": null, | |
| "quant_method": "compressed-tensors", | |
| "quantization_status": "compressed", | |
| "sparsity_config": {}, | |
| "transform_config": {}, | |
| "version": "0.19.0" | |
| }, | |
| "rms_norm_eps": 1e-06, | |
| "rope_parameters": { | |
| "mrope_interleaved": true, | |
| "mrope_section": [ | |
| 11, | |
| 11, | |
| 10 | |
| ], | |
| "partial_rotary_factor": 0.25, | |
| "rope_theta": 10000000, | |
| "rope_type": "default" | |
| }, | |
| "tie_word_embeddings": true, | |
| "transformers_version": "5.17.0", | |
| "use_cache": true, | |
| "vocab_size": 248320 | |
| } |