Llama 3 8B Instruct
Meta's Llama 3 8B Instruct is an 8B-parameter open model with GQA, 8K context, trained on 15T tokens with SFT+RLHF alignment for English dialogue use cases.
Model Overview
Capabilities, design details, and architectural traits
Llama 3 8B Instruct - Open-Weight English Dialogue Model
Llama 3 8B Instruct is Meta's 8-billion parameter open-weight generative text model, instruction-tuned for English dialogue and assistant-like chat. It is the smaller variant in the original Llama 3 family.
Intended Use & Scope
Officially scoped to commercial and research use in English. Instruction-tuned models are explicitly intended for assistant-like chat; pretrained variants support broader natural language generation. Developer fine-tuning for languages beyond English is permitted under the Llama 3 Community License.
Safety Design
Meta conducted extensive red teaming, adversarial evaluation, and safety fine-tuning. A documented objective was significantly reducing false refusals relative to Llama 2, calibrating the model to avoid over-refusing benign prompts.
Benchmark Performance
Independent evaluations · Artificial Analysis
Accuracy & Capability Details
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Evaluate specifications, pricing, and independent benchmark indices
| Model Details | |||
|---|---|---|---|
| General Info | |||
| Provider | Meta | Anthropic | Anthropic |
| Release Date | April 18, 2024 | September 22, 2026 | September 28, 2026 |
| Knowledge Cutoff | Dec 2023 | - | Jun 2026 |
| Context & Limits | |||
| Context Window | 8K | 1M Best Context Window | 1M Best Context Window |
| Pricing (per 1M tokens) | |||
| Input Pricing | $0.04 Best Input Pricing | $4 | $2 |
| Output Pricing | $0.14 Best Output Pricing | $20 | $10 |
| Modalities | |||
| Inputs | text | textimagefile | textimagefile |
| Outputs | text | text | text |
| Benchmarks (0-100) | |||
| Intelligence Index | 4.8 | 57.6 Best Intelligence Index | 56.0 |
| Coding Index | - | - | - |
| Agentic Index | - | - | - |
Humanity's Last Exam
Extremely difficult logical reasoning and knowledge.
Long Context Reasoning
Logical reasoning over long context windows.
SciCode Benchmark
Scientific coding and mathematical modeling.
Independent evaluation data provided by Artificial Analysis. To view the latest benchmarks and full details, visit their official site.
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