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Llama 3.3 70B Instruct

Meta AIhuggingface.co/meta-llama/Llama-3.3-70B-Instruct

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...

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Updated 1 h ago · first seen 11 Sept 2026

model_01M294WWMJKK9PB00WHE9W6FEM

Parameters
70.5B
T2 · 4 h ago
Context
131.1K tokens
T2 · 4 h ago
Released
6 Dec 2024
T2 · 1 h ago
License
llama3.3
T2 · 4 h ago
Knowledge cutoff
Dec 2023
T2 · 4 h ago

As of

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35 claims · 34 properties

Release daterelease_date2

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26 Nov 2024currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic
6 Dec 2024supersededOpenRouter public model & pricing listingT2mediumdeterministic

Opennessopenness1

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restrictedcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Licenselicense1

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llama3.3currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Architecturearchitecture1

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LlamaForCausalLMcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Parametersparameter_count1

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70.5BcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Context windowcontext_length1

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131.1K tokenscurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Max outputmax_output_tokens1

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16.4K tokenscurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Knowledge cutoffknowledge_cutoff1

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Dec 2023currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Modalitiesmodalities1

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textcurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Input modalitiesmodalities_input1

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textcurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Output modalitiesmodalities_output1

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textcurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Languageslanguages1

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en, fr, it, pt, hi, es, th, decurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Tokenizertokenizer1

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Llama3currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Base modelbase_model1

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meta-llama/Llama-3.1-70BcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

File sizefile_size_gb1

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141.1 GBcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Hugging Face repohf_repo1

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meta-llama/Llama-3.3-70B-InstructcurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Pipeline tagpipeline_tag1

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text-generationcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Model cardmodel_card_url1

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https://huggingface.co/meta-llama/Llama-3.3-70B-InstructcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Downloadsmetric.downloads1

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890,447currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Likesmetric.likes1

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3,019currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Descriptiondescription1

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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...currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Gatedgated1

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manualcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Hf inference providershf_inference_providers1

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featherless-ai, groq, novita, ovhcloud, scaleway, togethercurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Instruct typeinstruct_type1

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llama3currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Last modifiedlast_modified1

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2024-12-21T18:28:01+00:00currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Library namelibrary_name1

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transformerscurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Downloads all timemetric.downloads_all_time1

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14,426,210currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Model typemodel_type1

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llamacurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Openrouter idopenrouter_id1

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meta-llama/llama-3.3-70b-instructcurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Structured outputstructured_output1

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YescurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Supported parameterssupported_parameters1

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frequency_penalty, logit_bias, logprobs, max_tokens, min_p, presence_penalty, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_pcurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Tagstags1

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transformers, safetensors, llama, text-generation, facebook, meta, pytorch, llama-3, en, fr, it, pt, hi, es, th, decurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Tool callingtool_calling1

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YescurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Weights dtypeweights_dtype1

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BF16currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →