RichardErkhov's picture
uploaded model
59abc12 verified
{
"_block_types": [
"recurrent",
"recurrent",
"attention"
],
"_name_or_path": "recurrentgemma-2b",
"architectures": [
"RecurrentGemmaForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"attention_window_size": 2048,
"block_types": [
"recurrent",
"recurrent",
"attention"
],
"bos_token_id": 2,
"conv1d_width": 4,
"embeddings_scale_by_sqrt_dim": true,
"eos_token_id": 1,
"final_w_init_variance_scale": 0.07692307692307693,
"head_dim": 256,
"hidden_activation": "gelu_pytorch_tanh",
"hidden_size": 2560,
"intermediate_size": 15360,
"logits_soft_cap": 30.0,
"lru_width": 2560,
"model_type": "recurrent_gemma",
"num_attention_heads": 10,
"num_hidden_layers": 26,
"num_key_value_heads": 1,
"pad_token_id": 0,
"partial_rotary_factor": 0.5,
"quantization_config": {
"_load_in_4bit": true,
"_load_in_8bit": false,
"bnb_4bit_compute_dtype": "float32",
"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"
},
"rms_norm_eps": 1e-06,
"rope_theta": 10000.0,
"torch_dtype": "float16",
"transformers_version": "4.40.2",
"use_cache": true,
"vocab_size": 256000,
"w_init_variance_scale": 0.01
}