hammh0a's picture
Upload folder using huggingface_hub
e80edfb verified
raw
history blame
3.83 kB
{
"_sliding_window_pattern": 4,
"architectures": [
"Cohere2ForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"bos_token_id": 5,
"cache_implementation": "hybrid",
"dtype": "bfloat16",
"eos_token_id": 255001,
"head_dim": 128,
"hidden_act": "silu",
"hidden_size": 12288,
"initializer_range": 0.02,
"intermediate_size": 36864,
"layer_norm_eps": 1e-05,
"layer_switch": 4,
"layer_types": [
"sliding_attention",
"sliding_attention",
"sliding_attention",
"full_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"full_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"full_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"full_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"full_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"full_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"full_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"full_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"full_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"full_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"full_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"full_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"full_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"full_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"full_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"full_attention"
],
"logit_scale": 0.25,
"max_position_embeddings": 8192,
"model_type": "cohere2",
"num_attention_heads": 96,
"num_hidden_layers": 64,
"num_key_value_heads": 8,
"order_of_interleaved_layers": "local_attn_first",
"pad_token_id": 0,
"position_embedding_type": "rope_gptj",
"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": {},
"strategy": "token",
"symmetric": true,
"type": "float"
},
"output_activations": null,
"targets": [
"Linear"
],
"weights": {
"actorder": null,
"block_structure": null,
"dynamic": false,
"group_size": null,
"num_bits": 8,
"observer": "minmax",
"observer_kwargs": {},
"strategy": "channel",
"symmetric": true,
"type": "float"
}
}
},
"format": "float-quantized",
"global_compression_ratio": null,
"ignore": [
"lm_head"
],
"kv_cache_scheme": null,
"quant_method": "compressed-tensors",
"quantization_status": "compressed",
"sparsity_config": {},
"transform_config": {},
"version": "0.11.1.a20250903"
},
"rope_scaling": null,
"rope_theta": 50000,
"rotary_pct": 1.0,
"sliding_window": 4096,
"tie_word_embeddings": false,
"transformers_version": "4.56.0",
"use_cache": true,
"use_embedding_sharing": true,
"use_gated_activation": true,
"use_parallel_block": true,
"use_parallel_embedding": true,
"use_qk_norm": false,
"vocab_size": 256000
}