Downloads · 30 days
66
1% of all-time downloads
Eurdem/megatron_2.1_MoE_2x7B
megatron_2.1_MoE_2x7B is a text generation model from Eurdem. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
megatron2.1MoE2x7B is a Mixure of Experts (MoE).
Downloads · 30 days
66
1% of all-time downloads
All-time downloads
11.5K
Public
Parameters
12.9B
25.8 GB on disk
Likes
2
Public
Click a slice to open those files.
.safetensors25.8 GB · 100%
From the Hugging Face model README
megatron_2.1_MoE_2x7B is a Mixure of Experts (MoE).
!pip install -qU transformers bitsandbytes accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "Eurdem/megatron_2.1_MoE_2x7B"
tokenizer = AutoTokenizer.from_pretrained(model)
pipeline = transformers.pipeline(
"text-generation",
model=model,
model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True},
)
messages = [{"role": "user", "content": "Tell me about AI."}]
prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
outputs = pipeline(prompt, max_new_tokens=1024, do_sample=True, temperature=0.7, top_k=1000, top_p=0.95)
print(outputs[0]["generated_text"])
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 76.64 |
| AI2 Reasoning Challenge (25-Shot) | 72.95 |
| HellaSwag (10-Shot) | 88.94 |
| MMLU (5-Shot) | 64.56 |
| TruthfulQA (0-shot) | 78.20 |
| Winogrande (5-shot) | 84.53 |
| GSM8k (5-shot) | 70.66 |