casperhansen/llama-3.3-70b-instruct-awq
text-generation model by casperhansen
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Model card & documentation
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This is the AWQ version of the Llama 3.3 70B Instruct model. Find more info here: https://github.com/casper-hansen/AutoAWQ. The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model is 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 3.3 is an auto-regressive language model that uses an optimized transformer architecture. The tuned versions use supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to align with human preferences for helpfulness and safety. Supported languages: English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai. Llama 3.3 model. Token counts refer to pretraining data only. All model versions use Grouped-Query Attention (GQA) for improved…
Read the full model card ↗ · Preview checked 2026-10-31T23:21:29.817Z
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Documentation belongs to its respective authors. Reported project/model license: llama3.3. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
casperhansen/llama-3.3-70b-instruct-awq is a text-generation model repository published by casperhansen on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- transformers
- Recent downloads (30 days)
- 767,008
- Cumulative likes
- 53
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 70,553,706,496
- Architecture
- LlamaForCausalLM
- License
- llama3.3
- Access
- Not gated by Hugging Face
- Created
- 2024-12-06T19:10:31.000Z
- Last modified
- 2024-12-06T19:24:27.000Z
Compatibility and lineage
Reported languages: en, fr, it, pt, hi, es, th, de
Reported base models: meta-llama/Llama-3.1-70B
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-20T06:44:37.096Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.