C1-2

Model overview

C1-2 is published by VoVoVoViK as a text-generation model. The captured configuration identifies LlamaForCausalLM with model type llama, and Safetensors metadata reports 8,030,261,248 parameters. Card data records the llama3.1 license, and Hub tags associate the record with meta-llama/Llama-3.1-8B as a finetune.

Recorded capabilities

Use cases in the source record

• Multilingual assistant-like chat consistent with the conversational tagging and the model card's instruction-tuned chat description.
• Tool-calling conversational workflows using the tool-use formats documented in the model card.

Limitations and unknowns

• The model card reproduces Meta's Llama 3.1 family documentation, so no C1-2-specific fine-tune deltas were extracted.
• No evaluation results were extracted from this record.
• Provider state is historical snapshot data, not independently refreshed current availability.
• Context length, token counts, and cutoff figures in the model card describe the Llama 3.1 family rather than independently verified values for this record.

Source and provenance

Source: VoVoVoViK/C1-2

Captured: Unknown. Processed: 2026-09-07T19:34:38.513147+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…