Text Generation
Transformers
Safetensors
Persian
English
mistral
conversational
text-generation-inference
Inference Endpoints
Habib commited on
Commit
13561bb
1 Parent(s): 07249c4

[INIT] First Checkpoint (2024-03-09)

Browse files
config.json ADDED
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+ {
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+ "_name_or_path": "ZharfaTech/ZharfaOpen-0409",
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+ "architectures": [
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+ "MistralForCausalLM"
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+ ],
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 1,
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+ "eos_token_id": 32000,
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+ "hidden_act": "silu",
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+ "hidden_size": 4096,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 14336,
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+ "max_position_embeddings": 8192,
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+ "model_type": "mistral",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 8,
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+ "rms_norm_eps": 1e-05,
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+ "rope_theta": 10000.0,
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+ "sliding_window": 4096,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "float16",
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+ "transformers_version": "4.38.2",
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+ "use_cache": true,
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+ "vocab_size": 32002
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+ }
eval.py ADDED
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+ import torch
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+ from transformers import AutoTokenizer, AutoModelForCausalLM, BitsAndBytesConfig
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+
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+ from peft import LoraConfig, PeftModel, prepare_model_for_kbit_training, get_peft_model
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+
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+ model_id = "/share/models/open-zharfa"
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+
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+ tokenizer = AutoTokenizer.from_pretrained(model_id, add_eos_token=True)
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+
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+ base_model = AutoModelForCausalLM.from_pretrained(
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+ model_id,
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+ low_cpu_mem_usage=True,
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+ return_dict=True,
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+ torch_dtype=torch.float16,
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+ device_map="auto",
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+ )
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+
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+ base_model.generation_config.do_sample = True
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+
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+
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+ #tokenizer.pad_token = tokenizer.eos_token
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+ tokenizer.pad_token = tokenizer.unk_token
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+ tokenizer.padding_side = "right"
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+
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+ def get_completion_merged(query: str, model, tokenizer) -> str:
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+ device = "cuda:0"
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+
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+ prompt_template = """
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+
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+ GPT4 Correct User: {query}<|end_of_turn|>GPT4 Correct Assistant:
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+
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+ """
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+ prompt = prompt_template.format(query=query)
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+
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+ encodeds = tokenizer(prompt, return_tensors="pt", add_special_tokens=True)
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+
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+ model_inputs = encodeds.to(device)
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+
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+ generated_ids = model.generate(**model_inputs, max_new_tokens=1000, do_sample=True, temperature=0.5, pad_token_id=tokenizer.unk_token_id) #pad_token_id=tokenizer.eos_token_id)
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+ decoded = tokenizer.batch_decode(generated_ids)
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+ return (decoded[0])
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+
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+ while True:
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+ q = input('q : ')
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+ result = get_completion_merged(query=q, model=base_model, tokenizer=tokenizer)
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+ print(result)
generation_config.json ADDED
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+ {
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+ "_from_model_config": true,
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+ "bos_token_id": 1,
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+ "do_sample": true,
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+ "eos_token_id": 32000,
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+ "max_length": 8192,
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+ "pad_token_id": 0,
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+ "temperature": 0.5,
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+ "transformers_version": "4.38.2"
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+ }
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