Helion-V2.5-Rnd / generation_config.json
Trouter-Library's picture
Create generation_config.json
9e7df3d verified
raw
history blame
2.41 kB
{
"_from_model_config": true,
"bos_token_id": 128000,
"eos_token_id": 128009,
"pad_token_id": 128001,
"transformers_version": "4.40.0",
"model_type": "llama",
"architectures": [
"LlamaForCausalLM"
],
"do_sample": true,
"temperature": 0.7,
"top_p": 0.9,
"top_k": 50,
"repetition_penalty": 1.1,
"max_length": 131072,
"max_new_tokens": 4096,
"min_length": 0,
"min_new_tokens": null,
"early_stopping": false,
"num_beams": 1,
"num_beam_groups": 1,
"diversity_penalty": 0.0,
"length_penalty": 1.0,
"no_repeat_ngram_size": 0,
"encoder_no_repeat_ngram_size": 0,
"bad_words_ids": null,
"forced_bos_token_id": null,
"forced_eos_token_id": null,
"remove_invalid_values": false,
"exponential_decay_length_penalty": null,
"suppress_tokens": null,
"begin_suppress_tokens": null,
"forced_decoder_ids": null,
"num_return_sequences": 1,
"output_attentions": false,
"output_hidden_states": false,
"output_scores": false,
"return_dict_in_generate": true,
"use_cache": true,
"typical_p": 1.0,
"epsilon_cutoff": 0.0,
"eta_cutoff": 0.0,
"renormalize_logits": false,
"constraints": null,
"guidance_scale": null,
"low_memory": null,
"watermarking_config": null,
"presets": {
"creative": {
"temperature": 0.9,
"top_p": 0.95,
"top_k": 50,
"repetition_penalty": 1.1,
"description": "High creativity for stories, brainstorming, creative writing"
},
"precise": {
"temperature": 0.3,
"top_p": 0.85,
"top_k": 40,
"repetition_penalty": 1.15,
"description": "Low randomness for factual, technical, or code generation"
},
"balanced": {
"temperature": 0.7,
"top_p": 0.9,
"top_k": 50,
"repetition_penalty": 1.1,
"description": "Balanced for general purpose conversations"
},
"deterministic": {
"temperature": 0.0,
"top_p": 1.0,
"top_k": 1,
"repetition_penalty": 1.0,
"do_sample": false,
"description": "Fully deterministic output, same input = same output"
}
},
"stop_sequences": [
"<|im_end|>",
"<|endoftext|>",
"</s>"
],
"chat_format": {
"system": "<|im_start|>system\n{content}<|im_end|>\n",
"user": "<|im_start|>user\n{content}<|im_end|>\n",
"assistant": "<|im_start|>assistant\n{content}<|im_end|>\n",
"prompt_suffix": "<|im_start|>assistant\n"
}
}