Sao10KdeepTool use

Llama 3 Euryale 70B v2.1

Euryale 70B v2.1 is a model focused on creative roleplay from [Sao10k](https://ko-fi.com/sao10k). - Better prompt adherence. - Better anatomy / spatial awareness. - Adapts much better to unique and custom formatting / reply formats. - Very creative, lots of unique swipes. - Is not restrictive during roleplays.

8K context·~6K words·8K max output

View context details Compare with Amazon Titan Text Express

Context window8Ktokens

Max output8Ktokens

Context window

This model accepts 8K tokens in one request (~6K words of text).

Context window size8K tokens

4K32K128K1M10M

What fits in one request

Short document
About 1,500 words of text
Fits
Long document
About 37K words of text
Won't fit
Small codebase
About 150K words of text
Won't fit
Full novel
About 375K words of text
Won't fit

Specifications

Context size, pricing, and release info in one place.

Context window: 8,192 tokens (8K)
Max output tokens: 8,192 tokens (8K)
Speed tier: deep
Provider: Sao10K
Release date: Jun 2024

Capabilities

See which features this model supports, such as vision, tools, and streaming.

Supported (3)

Tool use: Can call external tools and APIs; Supported
Function calling: Structured function call interface; Supported
Streaming: Returns tokens as they are generated; Supported

Not supported (5)

Vision: Accepts image inputs alongside text; Not supported
Extended thinking: Shows its chain-of-thought reasoning; Not supported
Web search: Can browse the web during a request; Not supported
Batch API: Process many requests asynchronously; Not supported
Prompt caching: Reuse repeated prompt prefixes cheaply; Not supported

Best for

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Frequently asked questions

Short answers about context size and how this model behaves.

Llama 3 Euryale 70B v2.1 has a context window of 8K tokens (8,192 tokens). This is sufficient for most chat, summarization, and moderate document tasks.

More from Sao10K

Other models by Sao10K in our catalog.

Llama 3.1 Euryale 70B v2.2

131Kdeep

Llama 3.3 Euryale 70B

131Kdeep

Llama 3.1 70B Hanami x1

16Kdeep

Llama 3 8B Lunaris

8Kfast

Use a smaller model.
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Mem0 gives your AI long-term memory so you stop re-sending context on every call. That means you can use a smaller, faster, cheaper model — and still get better answers.

Calculate your savings Learn about Mem0

Example: a multi-turn chat session

Without Mem0~128K tokens sent

Full history

Repeated info

Old context

With Mem0~20K tokens sent

Key memories

Current turn

80% less to send — works with any model