Text Generation
PEFT
Safetensors
English
mixtral
agriculture
lora
instruction-tuning
adaption-labs
autoscientist
question-answering
conversational
Instructions to use Charley890/AgroAdapt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Charley890/AgroAdapt with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mixtral-8x7B-Instruct-v0.1") model = PeftModel.from_pretrained(base_model, "Charley890/AgroAdapt") - Notebooks
- Google Colab
- Kaggle
File size: 867 Bytes
b12d73f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 | {
"architectures": [
"MixtralForCausalLM"
],
"attention_dropout": 0.0,
"bos_token_id": 1,
"dtype": "bfloat16",
"eos_token_id": 2,
"head_dim": null,
"hidden_act": "silu",
"hidden_size": 4096,
"initializer_range": 0.02,
"intermediate_size": 14336,
"max_position_embeddings": 32768,
"model_type": "mixtral",
"num_attention_heads": 32,
"num_experts_per_tok": 2,
"num_hidden_layers": 32,
"num_key_value_heads": 8,
"num_local_experts": 8,
"output_router_logits": false,
"pad_token_id": 2,
"rms_norm_eps": 1e-05,
"rope_parameters": {
"rope_theta": 1000000.0,
"rope_type": "default"
},
"router_aux_loss_coef": 0.02,
"router_jitter_noise": 0.0,
"sliding_window": null,
"tie_word_embeddings": false,
"transformers_version": "5.10.1",
"use_cache": false,
"vocab_size": 32000,
"torch_dtype": "bfloat16"
}
|