初始化项目，由ModelHub XC社区提供模型
Model: DDIDU/ETRI_CodeLLaMA_7B_CPP Source: Original Platform
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README.md
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README.md
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---
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license: llama2
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model-index:
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- name: ETRI_CodeLLaMA_7B_CPP
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results:
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- task:
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type: text-generation
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dataset:
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type: HumanEval-X
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name: humanevalsynthesize-cpp
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metrics:
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- name: pass@1
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type: pass@1
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value: 34.3%
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verified: false
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---
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## **ETRI_CodeLLaMA_7B_CPP**
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We used LoRa to further pre-train Meta's CodeLLaMA-7B-hf model with high-quality C++ code tokens.
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Furthermore, we fine-tuned on CodeM's C++ instruction data.
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## Model Details
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This model was trained using LoRa and achieved a pass@1 of 34.3% on HumanEvalX-cpp.
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ETRI_CodeLLaMA_7B_CPP is a C++ specialized model.
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## Dataset Details
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We pre-trained CodeLLaMA-7B further using 543 GB of C++ code collected online, and fine-tuned it using CodeM's C++ instruction data. We utilized 1 x A100-80GB GPU for the training.
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## Requirements
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```
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pip install torch transformers accelerate
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```
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## How to reproduce HumanEval-X results
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We use Bigcode-evaluation-harness repo for evaluating our trained model.
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bigcode-evaluation-harness
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```
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git clone https://github.com/bigcode-project/bigcode-evaluation-harness.git
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```
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Then, run main.py as follows.
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```
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accelerate launch bigcode-evaluation-harness/main.py \
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--model DDIDU/ETRI_CodeLLaMA_7B_CPP \
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--max_length_generation 512 \
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--prompt continue \
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--tasks humanevalsynthesize-cpp \
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--temperature 0.2 \
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--n_samples 100 \
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--precision bf16 \
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--do_sample True \
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--batch_size 10 \
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--allow_code_execution \
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--save_generations \
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```
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## Model use
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```
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from transformers import AutoTokenizer
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import transformers
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import torch
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model = "DDIDU/ETRI_CodeLLaMA_7B_CPP"
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tokenizer = AutoTokenizer.from_pretrained(model)
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pipeline = transformers.pipeline(
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"text-generation",
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model=model,
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torch_dtype=torch.bfloat16,
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device_map="auto",
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)
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sequences = pipeline(
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'#include <iostream>\n#include <vector>\n\nusing namespace std;\n\nvoid quickSort(int *data, int start, int end) {',
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do_sample=True,
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top_k=10,
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temperature=0.1,
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top_p=0.95,
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num_return_sequences=1,
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eos_token_id=tokenizer.eos_token_id,
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max_length=200,
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)
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for seq in sequences:
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print(f"Result: {seq['generated_text']}")
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```
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config.json
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config.json
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{
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"_name_or_path": "codellama/CodeLlama-7b-hf",
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"architectures": [
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"LlamaForCausalLM"
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],
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"bos_token_id": 1,
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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": 11008,
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"max_position_embeddings": 16384,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 32,
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"pretraining_tp": 1,
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"rope_scaling": null,
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"rope_theta": 1000000,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.33.2",
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"use_cache": true,
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"vocab_size": 32016
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}
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generation_config.json
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||||
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||||
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||||
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|
||||
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|
||||
}
|
||||
}
|
||||
29
special_tokens_map.json
Normal file
29
special_tokens_map.json
Normal file
@@ -0,0 +1,29 @@
|
||||
{
|
||||
"additional_special_tokens": [
|
||||
"▁<PRE>",
|
||||
"▁<MID>",
|
||||
"▁<SUF>",
|
||||
"▁<EOT>"
|
||||
],
|
||||
"bos_token": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"unk_token": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
93454
tokenizer.json
Normal file
93454
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 sha256:45ccb9c8b6b561889acea59191d66986d314e7cbd6a78abc6e49b139ca91c1e6
|
||||
size 500058
|
||||
44
tokenizer_config.json
Normal file
44
tokenizer_config.json
Normal file
@@ -0,0 +1,44 @@
|
||||
{
|
||||
"additional_special_tokens": [
|
||||
"▁<PRE>",
|
||||
"▁<MID>",
|
||||
"▁<SUF>",
|
||||
"▁<EOT>"
|
||||
],
|
||||
"bos_token": {
|
||||
"__type": "AddedToken",
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": {
|
||||
"__type": "AddedToken",
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eot_token": "▁<EOT>",
|
||||
"fill_token": "<FILL_ME>",
|
||||
"legacy": null,
|
||||
"middle_token": "▁<MID>",
|
||||
"model_max_length": 1000000000000000019884624838656,
|
||||
"pad_token": null,
|
||||
"prefix_token": "▁<PRE>",
|
||||
"sp_model_kwargs": {},
|
||||
"suffix_token": "▁<SUF>",
|
||||
"tokenizer_class": "CodeLlamaTokenizer",
|
||||
"unk_token": {
|
||||
"__type": "AddedToken",
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"use_default_system_prompt": false
|
||||
}
|
||||
Reference in New Issue
Block a user