Beta

Explore
Marketplace
Neural Labs
Chat
Wallet
Docs

Beta

Explore Marketplace Neural Labs Wallet Docs

Build

Manage

My assets Manage wallet Organization

Community

Discord X (Twitter)Telegram

Docs Privacy Policy Terms and Conditions

Proud member of

Proud member of

Docs Cookie Policy

Privacy Policy Terms and Conditions

© 2026 AlphaNeural AI. All rights reserved.

b200-l3-ultra-sel-lsc-qt45-z4-s1001-v1-a3 – AI Model by W-61 | AlphaNeural AI

You can deploy this model and start earning money today!

W-61/
b200-l3-ultra-sel-lsc-qt45-z4-s1001-v1-a3

like

0

text-generation

alignment-handbook

generated_from_trainer

W-61/llama-3-8b-base-sft-ultrachat-8xh200

text-generation-inference

endpoints_compatible

Views

No views yet

b200-l3-ultra-sel-lsc-qt45-z4-s1001-v1-a3

This model is a fine-tuned version of W-61/llama-3-8b-base-sft-ultrachat-8xh200 on the a locally materialized preference dataset dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-07
train_batch_size: 4
eval_batch_size: 4
seed: 1001
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 8
total_train_batch_size: 128
total_eval_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
training_steps: 477

Training results

Framework versions

Transformers 4.51.0
Pytorch 2.7.1+cu128
Datasets 2.21.0
Tokenizers 0.21.4