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Provider-specific identifiers, limits, and listed prices per million tokens. Every row links back to the provider's own documentation.
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meta-llama/Llama-2-70b-hfEvery result stays attached to its source, version, metric and harness. Scores from different versions are never merged, and the profile below plots each benchmark against its own population rather than on a shared scale.
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GET https://model.kyssta.lol/api/v1/models/meta-llama/Llama-2-70b-hfcurl "https://model.kyssta.lol/api/v1/models/meta-llama/Llama-2-70b-hf"Answered directly from the stored record — nothing here is generated beyond the catalog's own fields.
Yes. The weights are published.
Llama 3.2 1B is a 1-billion-parameter language model focused on efficiently performing natural language tasks, such as summarization, dialogue, and multilingual text analysis. Its smaller size allows it to operate...
Meta: Llama 3.2 3B InstructLlama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization. Designed with the latest transformer architecture, it...
Meta: Llama 4 MaverickLlama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...
Meta: Llama 3.3 70B InstructThe 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...