Multilingual dialogue tuning
According to the model card, the instruction-tuned models are optimized for multilingual dialogue and assistant-like chat.
Open Source Model Profile · meta-llama
Llama-3.1-8B-Instruct
Llama-3.1-8B-Instruct is an 8.03B-parameter Meta instruction-tuned chat model. Its model card documents 128k context, multilingual dialogue tuning, and tool-use support.
- Publisher
- meta-llama
- Task
- text-generation
- Model type
- llama
- License
- llama3.1
- Library
- transformers
- Publication status
- Accepted · not indexed
Model overview
Llama-3.1-8B-Instruct is published by meta-llama as an instruction-tuned Llama 3.1 text-generation model. The captured configuration identifies LlamaForCausalLM and Safetensors metadata reports 8,030,261,248 parameters. According to the model card, it belongs to the multilingual 8B, 70B, and 405B collection optimized for dialogue and assistant-like chat.
Recorded capabilities
128k context and GQA
According to the model card, the 8B model reports 128k context and grouped-query attention for inference scalability.
Documented tool calling
According to the model card, Llama 3.1 supports multiple tool-use formats with chat-template and Transformers integration.
Transformers and local use
According to the model card, conversational inference runs on transformers 4.43.0 or later, with local recipes covering compilation, assisted generation, and quantization.
Safety scaffolding
According to the model card, the release points to Llama Guard 3, Prompt Guard, and Code Shield safeguards and application-level safety evaluation.
Use cases in the source record
- Assistant-like multilingual chat consistent with the card's described instruction-tuned purpose.
- Tool-calling workflows that use the documented chat-template and Transformers tool-role pattern.
- Local Transformers experiments using the documented pipeline, generation, compilation, and quantization recipes.
Limitations and unknowns
- No independent evaluation results were extracted from this record; card benchmark and safety claims are publisher-reported.
- Provider state is historical snapshot data, not independently refreshed current availability.
- Knowledge-cutoff and token-count figures come from the publisher card and have not been independently verified by Ethen.
Source and provenance
Source: meta-llama/Llama-3.1-8B-Instruct
Captured: Unknown. Processed: 2026-09-07T19:34:51.561273+00:00.
Model Information The Meta Llama 3.1 collection of multilingual large language models (LLMs) is a collection of pretrained and instruction tuned generative models in 8B, 70B and 405B sizes (text in/text out). The Llama 3.1 instruction tuned text only models (8B, 70B, 405B) are optimized for multilingual dialogue use cases and outperform many of the available open source and closed chat models on common industry benchmarks. Model developer : Meta Model Architecture: Llama 3.1 is an auto-regressive language model that uses an optimized transformer architecture. The tuned versions use supervised fine-tuning (SFT) and reinforcement lear…
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