bilibili/Index-1.9B

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1030 stars · 51 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Index-1.9B is a family of lightweight 1.9-billion-parameter multilingual language models from Bilibili's Index team, released in base, chat, character (few-shot role-playing), and 32K long-context variants. The Apache-2.0 weights are hosted on HuggingFace with GGUF builds adapted for llama.cpp and Ollama, pre-trained on roughly 2.8T tokens of mostly Chinese and English corpus.

Use cases

• run a small multilingual chatbot locally on consumer hardware
• translate between Chinese and other East Asian languages with a lightweight model
• build a role-playing character chatbot with few-shot customization
• read and summarize long documents with a tiny 32K-context model
• study a pre-trained base model and constant-LR checkpoints for training research
• embed an offline LLM into an edge or low-resource application

When to choose

• You need a sub-2B-parameter model that runs on modest GPUs or CPUs via GGUF/Ollama
• Your work centers on Chinese and English text, including East Asian translation
• You want character role-playing chat without heavy fine-tuning (few-shot plus RAG)
• You need surprisingly long 32K context from a very small model

When to avoid

• You need frontier-grade reasoning, coding, or agentic capabilities from a larger model
• You require broad multilingual coverage beyond Chinese/English and East Asian languages
• Your tasks demand context lengths well beyond 32K tokens

Facets

library · maturity active

machine-learning nlp chatbot artificial-intelligence large-language-models python cross-platform self-hosted llm small-language-model pretrained-model model-weights multilingual chinese-english chat-model role-playing few-shot-roleplay rag long-context 32k-context gguf ollama llama-cpp sft dpo huggingface bilibili natural-language-processing

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markdown · JSON · MCP: product_card(name="bilibili/Index-1.9B")