Meta's Llama 3 model is rolled out in varying sizes, with the 8B instruct-tuned variant particularly optimized for high-quality dialogue purposes. The performance of Llama 3 has been found to be strong when compared to leading closed-source models, backed by human evaluations. The model family includes 8B and 70B sizes, with pretrained and instruct-tuned variants suitable for assistant-like chat. Llama 3 leverages auto-regressive language modeling with optimized transformer architecture. Training data is a mix of publicly available online data, with a knowledge cutoff in March 2023 for 8B and December 2023 for 70B models. The models use Grouped-Query Attention for improved inference scalability.
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2 providers serve this model through the Respan gateway, cheapest first. Copy a model ID to call that route directly.
| Provider | Input | Output |
|---|---|---|
TogetherAIBYOK only together_ai/meta-llama/Llama-3-8b-chat-hf | $0.20/M | $0.20/M |
TogetherAIBYOK only together_ai/meta-llama/Meta-Llama-3-8B-Instruct | $0.20/M | $0.20/M |
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Averaged across 2 providers, in USD per 1M tokens after gateway discounts.
Total cost from 0 to 1T tokens.
Use Llama 3 8B Instruct in the tools you already run. Each guide points the app at the Respan gateway, then you pick this model.
Setup guides for more apps are in the integration docs.
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