Instruction-tuned model based on SOLAR-10.7B-v1.0 using alpaca-gpt4 dataset.
Utilized supervised fine-tuning(SFT) and optimized hyperparameters.

```
{
  "_name_or_path": "/workspace/model/pt/SOLAR-10.7B-v1.0",
  "architectures": [
    "LlamaForCausalLM"
  ],
  "attention_bias": false,
  "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": 4096,
  "model_type": "llama",
  "num_attention_heads": 32,
  "num_hidden_layers": 48,
  "num_key_value_heads": 8,
  "pretraining_tp": 1,
  "rms_norm_eps": 1e-05,
  "rope_scaling": null,
  "rope_theta": 10000.0,
  "tie_word_embeddings": false,
  "torch_dtype": "float16",
  "transformers_version": "4.36.2",
  "use_cache": false,
  "vocab_size": 32000
}
```


---
license: mit
language: en
---
{"language": ["en"], "license": "mit", "datasets": ["c-s-ale/alpaca-gpt4-data"]}
transformers safetensors llama text-generation en dataset:c-s-ale/alpaca-gpt4-data license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us