初始化项目，由ModelHub XC社区提供模型
Model: TechxGenus-MS/Yi-9B-Coder Source: Original Platform
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README.md
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README.md
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---
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tags:
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- code
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- llama
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library_name: transformers
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pipeline_tag: text-generation
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license: apache-2.0
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---
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<p align="center">
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<img width="300px" alt="Yi-Coder" src="https://huggingface.co/TechxGenus/Yi-9B-Coder/resolve/main/Yi-Coder.jpg">
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</p>
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### Yi-Coder
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We've fine-tuned Yi-9B with an additional 0.5 billion high-quality, code-related tokens for 3 epochs. We used DeepSpeed ZeRO 3 and Flash Attention 2 to accelerate the training process. It achieves **69.5 pass@1** on HumanEval-Python. This model operates using the Alpaca instruction format (excluding the system prompt).
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### Usage
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Here give some examples of how to use our model:
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```python
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from transformers import AutoTokenizer, AutoModelForCausalLM
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import torch
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PROMPT = """### Instruction
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{instruction}
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### Response
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"""
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instruction = <Your code instruction here>
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prompt = PROMPT.format(instruction=instruction)
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tokenizer = AutoTokenizer.from_pretrained("TechxGenus/Yi-9B-Coder")
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model = AutoModelForCausalLM.from_pretrained(
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"TechxGenus/Yi-9B-Coder",
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torch_dtype=torch.bfloat16,
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device_map="auto",
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)
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inputs = tokenizer.encode(prompt, return_tensors="pt")
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outputs = model.generate(input_ids=inputs.to(model.device), max_new_tokens=2048)
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print(tokenizer.decode(outputs[0]))
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```
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With text-generation pipeline:
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```python
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from transformers import pipeline
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import torch
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PROMPT = """### Instruction
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{instruction}
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### Response
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"""
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instruction = <Your code instruction here>
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prompt = PROMPT.format(instruction=instruction)
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generator = pipeline(
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model="TechxGenus/Yi-9B-Coder",
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task="text-generation",
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torch_dtype=torch.bfloat16,
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device_map="auto",
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)
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result = generator(prompt, max_length=2048)
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print(result[0]["generated_text"])
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```
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### Note
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Model may sometimes make errors, produce misleading contents, or struggle to manage tasks that are not related to coding. It has undergone very limited testing. Additional safety testing should be performed before any real-world deployments.
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Yi-Coder.jpg
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config.json
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config.json
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{
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"_name_or_path": "01-ai/Yi-9B",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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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": 4096,
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"model_type": "llama",
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"vocab_size": 64000
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}
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{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
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24
special_tokens_map.json
Normal file
24
special_tokens_map.json
Normal file
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|
||||
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174145
tokenizer.json
Normal file
174145
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
3
tokenizer.model
Normal file
3
tokenizer.model
Normal file
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|
||||
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size 1033105
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40
tokenizer_config.json
Normal file
40
tokenizer_config.json
Normal file
@@ -0,0 +1,40 @@
|
||||
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}
|
||||
Reference in New Issue
Block a user