Sulat.com
AI models
$10 off the fastest DeepSeek V4.1 Flash, Kimi K3 and GLM 5.3 from Synthetic
Abacus logo

Model details

Llama 3.1 8B Instruct

Llama 3.1 8B Instruct is a compact, high-performance generative model engineered to deliver capabilities that rival significantly larger systems. Designed as a general-purpose text generator, it excels in multilingual dialogue and complex conversational tasks. Its architecture is specifically optimized for efficiency, allowing it to maintain a manageable computational footprint while supporting an expansive context window. This design makes it a practical choice for developers who need to process extensive documents or long-form conversational histories without encountering memory bottlenecks.

Built through a rigorous process of pre-training and instruction tuning, this model is refined to handle diverse linguistic requirements and agentic workflows. Its lineage emphasizes scalability, making it particularly well-suited for deployment on CPU-based platforms like Intel Xeon processors. By balancing a lightweight parameter count with advanced instruction-following abilities, the model provides a robust foundation for both commercial and non-commercial applications, offering a forward-looking solution for those seeking high-quality text generation in resource-constrained environments.

Abacusmeta-llama/Meta-Llama-3.1-8B-Instructllama

Quick Info

Powered by
Provider
Abacus
Model key
meta-llama/Meta-Llama-3.1-8B-Instruct
Release date
Jul 23, 2024
Last updated
Jul 23, 2024
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.02
Output token cost
$0.05

Limits

Output tokens
4,096 tokens
Context window
128,000 tokens

Transparent token rates

Compare Llama 3.1 8B Instruct pricing

Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

Browse this family

Latest news about Llama 3.1 8B Instruct

Abacus

CoverageBenchmark

Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. $0.02 per million input tokens, $0.05 per million output tokens. 16,384 token context window, maximum output of 16,384 tokens. Higher uptime with 8 providers. Includes independent benchmarks from Artificial Analysis.

Videos about Llama 3.1 8B Instruct

More models around Llama 3.1 8B Instruct