---
library_name: transformers
license: apache-2.0
---

# WestLake-7B-v2-laser-truthy-dpo

![westlake-header](westlake-header.png)

## Process

+ Trained [cognitivecomputations/WestLake-7B-v2-laser](https://huggingface.co/cognitivecomputations/WestLake-7B-v2-laser) on jondurbin/truthy-dpo-v0.1
+ Completed 2 epochs
+ 2e-5 learning rate

## Code Example

```python
from transformers import AutoTokenizer
import transformers
import torch

model = "macadeliccc/WestLake-7B-v2-laser-truthy-dpo"
messages = [{"role": "user", "content": "What is a large language model?"}]

tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
    "text-generation",
    model=model,
    torch_dtype=torch.float16,
    device_map="auto",
)

outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])

```

## Evaluations 

![image/png](https://cdn-uploads.huggingface.co/production/uploads/6455cc8d679315e4ef16fbec/9CJeaPxf4XGJv7w114LKo.png)

Evaluated the GGUF for usability reasons. EQ-Bench uses Ooba for inference. 

<pre>----Benchmark Complete----
2024-01-31 14:38:14
Time taken: 18.9 mins
Prompt Format: ChatML
Model: macadeliccc/WestLake-7B-v2-laser-truthy-dpo-GGUF
Score (v2): 75.15
Parseable: 171.0
---------------
Batch completed
Time taken: 19.0 mins
---------------
</pre>

## GGUF

GGUF versions are available [here](https://huggingface.co/macadeliccc/WestLake-7B-v2-laser-truthy-dpo-GGUF)