Lernex/Metis-1.3-chat

Metis-1.3 Chat

Metis-1.3 Chat is the instruction-tuned conversational variant of the 201M-parameter Metis-1.3 base model. It starts from the pretrained hybrid Mamba2-attention base and is post-trained for more helpful chat behavior.

Model summary

• Family: Metis
• Stage: Chat SFT
• Parameters: 201,490,560
• Architecture: Mamba2-attention hybrid decoder
• Context length: 4096
• Vocabulary size: 8192
• Dtype: bfloat16 weights

What changed from base

This release starts from Metis-1.3 Base and applies supervised fine-tuning on a chat-style dataset designed to improve:

• instruction following
• conversational formatting
• general helpfulness
• cleaner assistant behavior

Intended use

This is the best general-purpose conversational checkpoint in the Metis-1.3 line for:

• lightweight assistant experiments
• browser or app integration tests
• comparison against the raw base model and the think model

Limitations

• This remains a small model and can still hallucinate, overfit to style, or miss nuance.
• The SFT data in this run appears relatively easy and narrow, so low training loss should not be overinterpreted as broad capability.
• English is the intended primary language.

Recommended variants

• Use Metis-1.3 Base for raw pretrained behavior.
• Use Metis-1.3 Chat for general conversational use.
• Use Metis-1.3 Think when you want the reasoning-tuned variant.

Files

• model.safetensors
• config.json
• generation_config.json
• tokenizer.json
• tokenizer_config.json
• special_tokens_map.json

License

This release inherits the licensing and attribution obligations of the upstream training and post-training data sources used in the Metis pipeline. Review dataset licenses and usage constraints before production use.