# zai-org/GLM-4-Voice

GLM-4-Voice | 端到端中英语音对话模型

Repository: https://github.com/zai-org/GLM-4-Voice
Canonical: https://ross.abutalabs.com/products/glm-4-voice
Language: Python
License: Apache-2.0
License Family: permissive
Last push: 2024-12-05T07:10:01+00:00

## Health v2 (maintenance only)
Score: 22/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 48
- inputs: {"age_days": 678, "days_push": 636, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3222, forks 286 (observed 2026-08-28T04:07:49.779393+00:00)

## What it is
GLM-4-Voice is an end-to-end bilingual (Chinese/English) speech dialogue model from Zhipu AI, built on GLM-4-9B with a speech tokenizer and a flow-matching speech decoder. It understands and generates voice directly, supports real-time low-latency voice chat, and can adjust emotion, tone, speed, and dialect per user instructions.

## Use cases
- build a real-time voice chatbot that speaks Chinese and English
- generate speech responses with controllable emotion and speaking speed
- run an end-to-end speech-to-speech conversation model locally
- transcribe and understand spoken audio into discrete tokens
- deploy a web demo for voice conversations with text and audio replies

## When to choose
- you need low-latency end-to-end voice dialogue rather than separate ASR + LLM + TTS pipelines
- you want a model that follows voice instructions to change emotion, tone, speed, or dialect
- you need strong Chinese and English speech understanding and generation in one model

## When to avoid
- you need production-grade multilingual support beyond Chinese and English
- you lack GPU resources to run a 9B-parameter model and its decoder
- you only need simple text-to-speech or speech-to-text without conversational intelligence

## Facets
- artifact type: library
- maturity: active
- function: speech-recognition, tts, llm-inference, chatbot, audio-processing
- domain: speech-processing, large-language-models, artificial-intelligence
- platform: python, cross-platform
- tags: voice-assistant, end-to-end-speech, speech-tokenizer, streaming-inference, chinese-english, web-demo, glm, natural-language-processing, gpu

## Member repositories
- zai-org/GLM-4-Voice (main) score 22

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:49.779393+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:44:20.173589+00:00, confidence not recorded.
  - readme: https://github.com/zai-org/GLM-4-Voice (fetched 2026-08-28T04:07:49.779393+00:00, sha 824a8e5f9e9c)
- Data as of 2026-08-30T08:39:29.467469+00:00.