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Llama 3 8B Lunaris

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Original 8B Llama 3. Used widely as a fine-tune base before 3.1/3.2 arrived.

Llama 3 8B Lunaris is a efficient AI model from sao10k. It costs $0.040 per million input tokens and $0.050 per million output tokens (blended $0.043/M), with a 8,192-token context window.

Profile inherited from upstream Llama 3 8B ↗ — this is a hosted variant of the same open-weights model.

INPUT
$0.040/M
per million input tokens
OUTPUT
$0.050/M
per million output tokens
BLENDED 70/30
$0.043/M
unchanged since 3 May
CONTEXT
8,192
tokens
What it is good at
  • Open weights
  • Single-GPU friendly
  • Fine-tune ecosystem
Typical use cases
  • Fine-tune base
  • Legacy Llama 3 deployments

Benchmarks

vs. best public score
Scores inherited from Llama 3 8B — this is a hosted variant of the same open-weights model, so the underlying benchmark scores are identical.
MMLU68%
Multitask academic knowledge across 57 subjects.
Graduate-level science questions, "Google-proof".
MATH30%
High-school competition math problems.
Python function synthesis from docstrings.
LMArena Elo1152 Elo
Crowd-sourced head-to-head preference Elo rating.
Hand-curated from each provider's published reports and public leaderboards. Methodology varies across sources, treat as directional rather than authoritative.

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Frequently asked questions

How much does Llama 3 8B Lunaris cost?

Llama 3 8B Lunaris costs $0.040 per million input tokens and $0.050 per million output tokens, for a blended reference rate of $0.043 per million tokens.

What is Llama 3 8B Lunaris's context window?

Llama 3 8B Lunaris supports up to 8,192 tokens of context in a single request.

What is Llama 3 8B Lunaris best for?

Llama 3 8B Lunaris is well suited to Open weights, Single-GPU friendly and Fine-tune ecosystem.

Who makes Llama 3 8B Lunaris?

Llama 3 8B Lunaris is developed and served by sao10k. It was released in Apr 2024.

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