config.json

{
  "_name_or_path": "mistralai/Mistral-7B-v0.1",
  "architectures": [
    "MistralForCausalLM"
  ],
  "attention_dropout": 0.0,
  "bos_token_id": 1,
  "eos_token_id": 2,
  "hidden_act": "silu",
  "hidden_size": 4096,
  "initializer_range": 0.02,
  "intermediate_size": 14336,
  "max_position_embeddings": 32768,
  "model_type": "mistral",
  "num_attention_heads": 32,
  "num_hidden_layers": 32,
  "num_key_value_heads": 8,
  "rms_norm_eps": 1e-05,
  "rope_theta": 10000.0,
  "sliding_window": 4096,
  "tie_word_embeddings": false,
  "torch_dtype": "bfloat16",
  "transformers_version": "4.36.2",
  "use_cache": true,
  "sources": [
    {
      "model": "google/gemma-7b",
      "layer_range": [0, 32]
    },
    {
      "model": "SuperAGI/SAM",
      "layer_range": [0, 32]
    }
  ],
  "merge_method": "slerp",
  "base_model": "google/gemma-7b",
  "parameters": {
    "t": [
      {
        "filter": "self_attn",
        "value": [0, 0.5, 0.3, 0.7, 1]
      },
      {
        "filter": "mlp",
        "value": [1, 0.5, 0.7, 0.3, 0]
      },
      {
        "value": 0.5
      }
    ]
  },
  "dtype": "bfloat16"
}