false, "num_ctx": 1024, "num_batch": 2, "num_gqa": 1, "num_gpu": 1, "main_gpu": 0, "low_vram": false, "f16_kv": true, "vocab_only": false, "use_mmap": true, "use_mlock": false, "rope_frequency_base": 1.1, "rope_frequency_scale": 0.8, "num_thread": 8 } }'...
map(lambda e: tokenizer(e['text'], padding='max_length', truncation=True, max_length=1024), batched=True) # 设置训练参数 training_args = TrainingArguments( output_dir='./results', overwrite_output_dir=True, num_train_epochs=3, per_device_train_batch_size=8, save_steps=10_000, save_...
example, label = tf.decode_csv(value, record_defaults=[['null'], ['null']]) #example_batch, label_batch = tf.train.shuffle_batch([example,label], #batch_size=1, capacity=200, min_after_dequeue=100, num_threads=2) # 运行Graph with tf.Session() as sess: #创建一个协调器,管理线程...
["\n", "user:"], "numa": false, "num_ctx": 4, "num_batch": 2, "num_gqa": 1, "num_gpu": 1, "main_gpu": 0, "low_vram": false, "f16_kv": true, "logits_all": false, "vocab_only": false, "use_mmap": true, "use_mlock": false, "embedding_only": false, "rope...
def train_fine_tuning(net, learning_rate, batch_size=128, num_epochs=5, param_group=True): train_iter = torch.utils.data.DataLoader(torchvision.datasets.ImageFolder( os.path.join(data_dir, 'train'), transform=train_augs), batch_size=batch_size, shuffle=True) ...
[7231]: llama_new_context_with_model: n_batch = 512 Jun 23 20:18:30 main ollama[7231]: llama_new_context_with_model: n_ubatch = 512 Jun 23 20:18:30 main ollama[7231]: llama_new_context_with_model: flash_attn = 0 Jun 23 20:18:30 main ollama[7231]: llama_new_context_...
batch_decode(generated_ids, skip_special_tokens=True)[0] 结果很不幸福,没跑起来,相关包都更新到最新了,运行不了,主要是显存不够。但运行这个脚本也不是没收获,至少把大模型下载到本地了: 千问模型和llama2模型不同的是千问模型没有tokenizer.model,但提供了tokenizer json和vocab.json,在转为GGUF格式的...
role":"assistant","content":new_func_text})ifcontinue_outer:continuetext=tokenizer.apply_chat_template(messages,tokenize=False,add_generation_prompt=False)output_texts.append(text)del example['system']del example['chat']return{"text":output_texts}dataset=dataset.map(formatting_prompts_func,batched...
但是,实际训练过程中,还会有batch size的warmup之类的,灵活调整是需要的。如后面4M seq 4K token的...
push(response); } } // Define server URLs for each batch let serverURL1 = "http://server1.com/api"; let serverURL2 = "http://server2.com/api"; // Use Promise.all to handle both batches in parallel Promise.all([ sendToServer(batch1, serverURL1), sendToServer(batch2, serverURL...