 Llama 3 Euryale 70B v2.1 |  Llama 3 70B Instruct | |
|---|---|---|
Model Provider The organization behind this AI's development | Sao10K | Meta |
Input Context Window Maximum input tokens this model can process at once | 8.2K tokens | 8.2K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 8.2K tokens | 16.4K tokens |
Release Date When this model first became publicly available | June 18, 2024 1 year ago June 18th, 2024 | April 18, 2024 1 year ago April 18th, 2024 |
Llama 3 Euryale 70B v2.1 | Llama 3 70B Instruct | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Llama3 | Llama3 |
Key Features Advanced capabilities | ✓Function CallingStructured OutputReasoning ModeContent Moderation | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Available on HuggingFace → |
| Llama 3 Euryale 70B v2.1 | Llama 3 70B Instruct | |
|---|---|---|
Input Token Cost Cost per million input tokens | $1.48 per million tokens | $0.30 per million tokens |
Output Token Cost Cost per million outut tokens | $1.48 per million tokens | $0.40 per million tokens |
| Llama 3 Euryale 70B v2.1 | Llama 3 70B Instruct | |
|---|---|---|
MMLU Measures knowledge across 57 subjects like law, math, history, and science | Benchmark not available. | Benchmark not available. |
MMMU Measures understanding of combined text and images across various domains | Benchmark not available. | Benchmark not available. |
HellaSwag Measures common sense reasoning by having models complete sentences about everyday situations | Benchmark not available. | Benchmark not available. |
Llama 3 Euryale 70B v2.1 by Sao10K can use external tools and APIs. It can handle standard conversations with its 8.2K token context window. Reasonably priced at $1.48/M input and $1.48/M output tokens. Released June 18th, 2024.Llama 3 70B Instruct by Meta can use external tools and APIs, generates structured data. It can handle standard conversations with its 8.2K token context window. Very affordable at $0.30/M input and $0.40/M output tokens. Released April 18th, 2024.Compare your models with top performers across different categories
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