初始化项目，由ModelHub XC社区提供模型
Model: QwenCollection/Nxcode-CQ-7B-orpo Source: Original Platform
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README.md
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README.md
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---
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license_name: tongyi-qianwen-research
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license_link: https://huggingface.co/Qwen/CodeQwen1.5-7B/blob/main/LICENSE
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tags:
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- code
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pipeline_tag: text-generation
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license: other
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---
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<a href="https://ntq.com.vn" target="_blank"><img src="https://cdn-uploads.huggingface.co/production/uploads/5ee1b417636bdb3834e2da19/etbfTJuVdAub2evNP_E4g.png" width="200"/></a>
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## Introduction
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Nxcode-CQ-7B-orpo is an [Monolithic Preference Optimization without Reference Model](https://arxiv.org/abs/2403.07691) fine-tune of Qwen/CodeQwen1.5-7B on 100k samples of high-quality ranking data.
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## [Evalplus](https://github.com/evalplus/evalplus)
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| EvalPlus | pass@1 |
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| --- | --- |
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| HumanEval | 86.6 |
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| HumanEval+ | 83.5 |
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| MBPP(v0.2.0) | 82.3 |
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| MBPP+(v0.2.0) | 70.4 |
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We use a simple template to generate the solution for evalplus:
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```python
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"Complete the following Python function:\n{prompt}"
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```
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[Evalplus Leaderboard](https://evalplus.github.io/leaderboard.html)
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| Models | HumanEval | HumanEval+|
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|------ | ------ | ------ |
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| GPT-4-Turbo (April 2024)| 90.2| 86.6|
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| GPT-4 (May 2023)| 88.4| 81.17|
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| GPT-4-Turbo (Nov 2023)| 85.4| 79.3|
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| CodeQwen1.5-7B-Chat| 83.5| 78.7|
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| claude-3-opus (Mar 2024)| 82.9| 76.8|
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| DeepSeek-Coder-33B-instruct| 81.1| 75.0|
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| WizardCoder-33B-V1.1| 79.9| 73.2|
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| OpenCodeInterpreter-DS-33B| 79.3| 73.8|
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| speechless-codellama-34B-v2.0| 77.4| 72|
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| GPT-3.5-Turbo (Nov 2023)| 76.8| 70.7|
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| Llama3-70B-instruct| 76.2| 70.7|
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## Bigcode Leaderboard
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[Bigcode Leaderboard](https://huggingface.co/spaces/bigcode/bigcode-models-leaderboard)
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**09/05/2024**
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Top 1 average score.
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Top 2 winrate.
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## Quickstart
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Here provides a code snippet with `apply_chat_template` to show you how to load the tokenizer and model and how to generate contents. You should upgrade the transformers if you receive an error when loading the tokenizer
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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device = "cuda" # the device to load the model onto
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model = AutoModelForCausalLM.from_pretrained(
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"NTQAI/Nxcode-CQ-7B-orpo",
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torch_dtype="auto",
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device_map="auto"
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)
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tokenizer = AutoTokenizer.from_pretrained("NTQAI/Nxcode-CQ-7B-orpo")
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prompt = """Complete the following Python function:
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from typing import List
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def has_close_elements(numbers: List[float], threshold: float) -> bool:
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""" Check if in given list of numbers, are any two numbers closer to each other than
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given threshold.
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>>> has_close_elements([1.0, 2.0, 3.0], 0.5)
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False
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>>> has_close_elements([1.0, 2.8, 3.0, 4.0, 5.0, 2.0], 0.3)
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True
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"""
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"""
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messages = [
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{"role": "user", "content": prompt}
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]
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inputs = tokenizer.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt").to(model.device)
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outputs = model.generate(inputs, max_new_tokens=512, do_sample=False, top_k=50, top_p=0.95, num_return_sequences=1, eos_token_id=tokenizer.eos_token_id)
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res = tokenizer.decode(outputs[0][len(inputs[0]):], skip_special_tokens=True)
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```
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### Contact information
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For personal communication related to this project, please contact Nha Nguyen Van (nha.nguyen@ntq-solution.com.vn).
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config.json
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{
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"architectures": [
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"Qwen2ForCausalLM"
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],
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"attention_dropout": 0.0,
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"eos_token_id": 2,
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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": 13440,
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"max_position_embeddings": 65536,
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"max_window_layers": 28,
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"model_type": "qwen2",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 4,
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"rms_norm_eps": 1e-05,
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"rotary_emb_base": 1000000,
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"seq_length": 65536,
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"sliding_window": 65536,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.39.3",
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"use_cache": true,
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"use_sliding_window": false,
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"vocab_size": 92416
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}
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{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
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|
||||
}
|
||||
}
|
||||
38
special_tokens_map.json
Normal file
38
special_tokens_map.json
Normal file
@@ -0,0 +1,38 @@
|
||||
{
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<fim_prefix>",
|
||||
"<fim_middle>",
|
||||
"<fim_suffix>",
|
||||
"<fim_pad>"
|
||||
],
|
||||
"bos_token": {
|
||||
"content": "<|endoftext|>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
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|
||||
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|
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
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|
||||
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|
||||
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|
||||
"normalized": false,
|
||||
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|
||||
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|
||||
},
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
216896
tokenizer.json
Normal file
216896
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
3
tokenizer.model
Normal file
3
tokenizer.model
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:656b66a920a54bc45e8e06dc587691ab3c0b2930b9ae56d5fa31e72db2f3bff3
|
||||
size 1423961
|
||||
19
tokenizer_config.json
Normal file
19
tokenizer_config.json
Normal file
@@ -0,0 +1,19 @@
|
||||
{
|
||||
"add_bos_token": false,
|
||||
"add_eos_token": false,
|
||||
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|
||||
"additional_special_tokens": ["<|im_start|>", "<|im_end|>", "<fim_prefix>", "<fim_middle>", "<fim_suffix>", "<fim_pad>"],
|
||||
"bos_token": "<|endoftext|>",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"legacy": false,
|
||||
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|
||||
"pad_token": "<fim_pad>",
|
||||
"sp_model_kwargs": {},
|
||||
"spaces_between_special_tokens": false,
|
||||
"tokenizer_class": "PreTrainedTokenizerFast",
|
||||
"unk_token": "<unk>",
|
||||
"use_default_system_prompt": false,
|
||||
"add_prefix_space": true,
|
||||
"chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}"
|
||||
}
|
||||
Reference in New Issue
Block a user