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Models

Llama 3.1 Euryale 70B v2.2

By Sao10K. Unknown parameters, a context window of 131,072 tokens and the licence cc-by-nc-4.0.

Facts

Released
2024-08-12 the day the repository was first published on Hugging Face Hugging Face, read
Licence
cc-by-nc-4.0 the licence the model card declares Hugging Face, read
Open weights
Yes the weights are published in this Hugging Face repository Hugging Face, read
Parameters
Unknown
Active parameters
Unknown
Knowledge cutoff
2023-12-31 the knowledge cutoff OpenRouter lists OpenRouter, read
Context window
  • 131,072 tokens the context length OpenRouter lists OpenRouter, read
Longest output
  • 16,384 tokens the largest output OpenRouter's first provider allows OpenRouter, read
Tool calling
  • No the chat template in the tokenizer configuration has no place for tool definitions Hugging Face, read
  • Yes OpenRouter lists tools among the supported parameters OpenRouter, read
Structured output
  • Yes OpenRouter lists structured outputs among the supported parameters OpenRouter, read
Reasoning controls
Unknown
Inputs and outputs
text in, text out OpenRouter, read
Good for
No source names a use.

Prices

Prices in US dollars per million tokens, as each source lists them
ProviderInputOutputContextAs ofSource
NanoGPT direct0.306 USD0.357 USD20,480 older than 30 days; check the providermodels.dev, read
DeepInfra through OpenRouter0.850 USD0.850 USD131,072OpenRouter endpoints, read
Novita through OpenRouter1.45 USD1.45 USD8,192OpenRouter endpoints, read

Run it on your own hardware

No source lists weight files or a parameter count for this model, so its memory needs are Unknown.

Use it from your harness

Set up for NanoGPT with the model Sao10K/L3.1-70B-Euryale-v2.2. Each endpoint page has the same setup for its own address.

OpenCode

Put this in opencode.json in your project folder:

{
  "$schema": "https://opencode.ai/config.json",
  "provider": {
    "nano-gpt": {
      "npm": "@ai-sdk/openai-compatible",
      "name": "NanoGPT",
      "options": {
        "baseURL": "https://nano-gpt.com/api/v1",
        "apiKey": "{env:NANO_GPT_API_KEY}"
      },
      "models": {
        "Sao10K/L3.1-70B-Euryale-v2.2": {
          "name": "Llama 3.1 Euryale 70B v2.2",
          "limit": {
            "context": 131072,
            "output": 16384
          }
        }
      }
    }
  }
}
  • OpenCode reads any OpenAI-compatible address through the @ai-sdk/openai-compatible package, and an address that speaks the Responses API through @ai-sdk/openai.

From OpenCode documentation, read .

Pi

Put this in ~/.pi/agent/models.json:

{
  "providers": {
    "nano-gpt": {
      "baseUrl": "https://nano-gpt.com/api/v1",
      "api": "openai-completions",
      "apiKey": "$NANO_GPT_API_KEY",
      "models": [
        {
          "id": "Sao10K/L3.1-70B-Euryale-v2.2"
        }
      ]
    }
  }
}
  • The apiKey field can name an environment variable as $NAME.

From Pi documentation, read .

Codex

Codex speaks only the Responses API, and NanoGPT documents no Responses address. A gateway that offers one can sit in between.

  • Codex speaks the Responses API only: responses is the one supported wire API of a custom provider. Ollama and LM Studio are built in and start with --oss.

From Codex documentation, read .

Claude Code

Claude Code sends Anthropic Messages requests, and NanoGPT documents no such address. A gateway that translates to that API can sit in between.

  • Claude Code sends Anthropic Messages requests to ANTHROPIC_BASE_URL. Anthropic says it does not support routing Claude Code to models other than Claude through any gateway, so some features may not work with another model.

From Claude Code documentation, read .

Other ways to reach it

Published results

These are results other people published. Baltor did not run them and does not rank models by them.