opencodego中收费的deepseek4flash不如opencode免费版的glm4好用,加无用的戏要返工.即不符合逐步添加功能式开发,没让动的功能基础随机在别一些改动中就删掉了...
November 11, 2026 at 9:48 AM
opencodego中收费的deepseek4flash不如opencode免费版的glm4好用,加无用的戏要返工.即不符合逐步添加功能式开发,没让动的功能基础随机在别一些改动中就删掉了...
Every claim footnoted to its source sentence: 128K context, 9B, llama.cpp. But it's a DevQuasar quant, not the authors' — empty card, licence 'other', benchmarks stop at full precision. Hard to see this in an audit-grade stack until someone shows citations survive the quant.
LongCite-glm4-9b-GGUF: Sentence-Level Citations for Long-Context RAG, Now Runnable Locally
Developers building retrieval-augmented generation (RAG) systems know the pain: a long answer can sound convincing while quietly drifting away from the source. LongCite-glm4-9b-GGUF, now listed on…
aichina.news
October 27, 2026 at 7:58 PM
Every claim footnoted to its source sentence: 128K context, 9B, llama.cpp. But it's a DevQuasar quant, not the authors' — empty card, licence 'other', benchmarks stop at full precision. Hard to see this in an audit-grade stack until someone shows citations survive the quant.
The model achieves 100% accuracy in the 1M length Passkey Retrieval task and scores 93.1 on the long text evaluation benchmark RULER, surpassing GPT-4’s 91.6 and GLM4-9B-1M’s 89.9.
Processing a context of 1M tokens from 4.9 minutes to 68 seconds, achieving a 4.3x speedup.
Processing a context of 1M tokens from 4.9 minutes to 68 seconds, achieving a 4.3x speedup.
November 21, 2024 at 4:44 PM
The model achieves 100% accuracy in the 1M length Passkey Retrieval task and scores 93.1 on the long text evaluation benchmark RULER, surpassing GPT-4’s 91.6 and GLM4-9B-1M’s 89.9.
Processing a context of 1M tokens from 4.9 minutes to 68 seconds, achieving a 4.3x speedup.
Processing a context of 1M tokens from 4.9 minutes to 68 seconds, achieving a 4.3x speedup.
Meanwhile, GLM4-Edge is now on Hugging Face hub🚀
👉 huggingface.co/collections/...
Packed with advanced dialogue + multimodal models:
📱 1.5B / 2B models: Built for mobile & in-car systems
💻 4B / 5B models: Optimized for PCs
👉 huggingface.co/collections/...
Packed with advanced dialogue + multimodal models:
📱 1.5B / 2B models: Built for mobile & in-car systems
💻 4B / 5B models: Optimized for PCs
GLM-Edge - a THUDM Collection
Unlock the magic of AI with handpicked models, awesome datasets, papers, and mind-blowing Spaces from THUDM
huggingface.co
November 29, 2024 at 8:42 AM
Meanwhile, GLM4-Edge is now on Hugging Face hub🚀
👉 huggingface.co/collections/...
Packed with advanced dialogue + multimodal models:
📱 1.5B / 2B models: Built for mobile & in-car systems
💻 4B / 5B models: Optimized for PCs
👉 huggingface.co/collections/...
Packed with advanced dialogue + multimodal models:
📱 1.5B / 2B models: Built for mobile & in-car systems
💻 4B / 5B models: Optimized for PCs
Cloud ones,
> Grok is the best right now imo.
> Gemini is great as well.
> z.ai (glm4.x) seems alright.
> ChatGPT nah probably, because I don't like OpenAI or Sam Altman.
>Meta's AI is a waste of time, not competitive.
> Grok is the best right now imo.
> Gemini is great as well.
> z.ai (glm4.x) seems alright.
> ChatGPT nah probably, because I don't like OpenAI or Sam Altman.
>Meta's AI is a waste of time, not competitive.
February 10, 2026 at 1:29 PM
Cloud ones,
> Grok is the best right now imo.
> Gemini is great as well.
> z.ai (glm4.x) seems alright.
> ChatGPT nah probably, because I don't like OpenAI or Sam Altman.
>Meta's AI is a waste of time, not competitive.
> Grok is the best right now imo.
> Gemini is great as well.
> z.ai (glm4.x) seems alright.
> ChatGPT nah probably, because I don't like OpenAI or Sam Altman.
>Meta's AI is a waste of time, not competitive.
GLM4.7-Flash the new Local LLM king at 30B A3B and OpenCode? Article URL: https://grigio.org/glm4-7-flash-the-new-local-llm-king-at-30b-a3b/ Comments URL: https://news.ycombinator.com/item?id=46751...
Origin | Interest | Match
Origin | Interest | Match
GLM4.7-Flash the new Local LLM king at 30B A3B ?
GLM4.7-Flash represents Z.ai's latest breakthrough in the 30B parameter class, delivering a Mixture-of-Experts (MoE) model that balances high performance with efficiency. Released in January 2026, this model has quickly established itself as a formidable contender in agentic coding and general reasoning tasks. Technical Architecture Model Specifications: * Parameters: 30B
grigio.org
January 25, 2026 at 8:15 AM
GLM 4.5 vs. Promptfoo: A Playbook for Systematic LLM Security Audits GLM 4.5 by Zhipu AI marks a major leap forward in open-source LLMs, blending deep reasoning, long-context understanding, and age...
#glm4 #opensource #security #llm
Origin | Interest | Match
#glm4 #opensource #security #llm
Origin | Interest | Match
GLM 4.5 vs. Promptfoo: A Playbook for Systematic LLM Security Audits
GLM 4.5 by Zhipu AI marks a major leap forward in open-source LLMs, blending deep reasoning,...
dev.to
August 3, 2025 at 10:12 AM
发现像智谱「glm4:9b」、通义「qwen2.5:7b」、零一「yi1.5:9b」这样可本地部署且较新的国产开源聊天大模型，用来对那些又臭又长的小说进行剧情浓缩和归纳，简直是特攻。而且本地使用时不会像调用接口后触发不知道什么违禁词不给回答，更加隐私安全。
感觉这下可以速读完所有拖着进度看不完的作品，还能节约相当多的时间了。
看来人工智能真的让用上了人工智能的人们都拥有了「美好的未来」呢，写是用人工智能辅助写的，读也是用人工智能辅助读的，只有卖显卡的赚疯了的世界，终于还是要出现了吗。
感觉这下可以速读完所有拖着进度看不完的作品，还能节约相当多的时间了。
看来人工智能真的让用上了人工智能的人们都拥有了「美好的未来」呢，写是用人工智能辅助写的，读也是用人工智能辅助读的，只有卖显卡的赚疯了的世界，终于还是要出现了吗。
October 27, 2024 at 8:41 AM
发现像智谱「glm4:9b」、通义「qwen2.5:7b」、零一「yi1.5:9b」这样可本地部署且较新的国产开源聊天大模型，用来对那些又臭又长的小说进行剧情浓缩和归纳，简直是特攻。而且本地使用时不会像调用接口后触发不知道什么违禁词不给回答，更加隐私安全。
感觉这下可以速读完所有拖着进度看不完的作品，还能节约相当多的时间了。
看来人工智能真的让用上了人工智能的人们都拥有了「美好的未来」呢，写是用人工智能辅助写的，读也是用人工智能辅助读的，只有卖显卡的赚疯了的世界，终于还是要出现了吗。
感觉这下可以速读完所有拖着进度看不完的作品，还能节约相当多的时间了。
看来人工智能真的让用上了人工智能的人们都拥有了「美好的未来」呢，写是用人工智能辅助写的，读也是用人工智能辅助读的，只有卖显卡的赚疯了的世界，终于还是要出现了吗。
Immersive translate拡張に入れると翻訳楽すぎるなこりゃ凄い🥺
ちょっと雑だから詳しく翻訳したい時はGPTやGeminiに投げるけど
Immersive translateのGLM4でもそれなりに読める🥺
こりゃ革命だ🥺
ちょっと雑だから詳しく翻訳したい時はGPTやGeminiに投げるけど
Immersive translateのGLM4でもそれなりに読める🥺
こりゃ革命だ🥺
January 11, 2026 at 1:47 AM
Immersive translate拡張に入れると翻訳楽すぎるなこりゃ凄い🥺
ちょっと雑だから詳しく翻訳したい時はGPTやGeminiに投げるけど
Immersive translateのGLM4でもそれなりに読める🥺
こりゃ革命だ🥺
ちょっと雑だから詳しく翻訳したい時はGPTやGeminiに投げるけど
Immersive translateのGLM4でもそれなりに読める🥺
こりゃ革命だ🥺
New on CRAN: glm4 (0.1.0). View at https://CRAN.R-project.org/package=glm4
glm4: Fitting Generalized Linear Models Using Sparse Matrices
Fits Generalised Linear Models (GLMs) with sparse and dense 'Matrix' matrices for memory efficiency. Acts as a wrapper for the glm4() function in the 'MatrixModels' package <<a href="https://doi.org/10.32614%2FCRAN.package.MatrixModels" target="_top">doi:10.32614/CRAN.package.MatrixModels</a>>, but adds convenient model methods and functions designed to mimic those associated with the glm() function from the 'stats' package.
CRAN.R-project.org
April 16, 2026 at 10:31 AM
New on CRAN: glm4 (0.1.0). View at https://CRAN.R-project.org/package=glm4
Breaking Barriers: GLM4-MoE Gets 65% Faster with SGLang Optimizations
The landscape of large language model (LLM) deployment is evolving rapidly, and Novita AI is at the forefront with a groundbreaking suite of performance enhancements for GLM4-MoE models. These models, known for their flexibility…
The landscape of large language model (LLM) deployment is evolving rapidly, and Novita AI is at the forefront with a groundbreaking suite of performance enhancements for GLM4-MoE models. These models, known for their flexibility…
Breaking Barriers: GLM4-MoE Gets 65% Faster with SGLang Optimizations
The landscape of large language model (LLM) deployment is evolving rapidly, and Novita AI is at the forefront with a groundbreaking suite of performance enhancements for GLM4-MoE models. These models, known for their flexibility and high compute demands, are now seeing dramatic reductions in latency and throughput times thanks to innovative techniques built on SGLang. From production-ready kernel optimizations to cutting-edge speculative decoding strategies, this update is a game-changer for organizations relying on agentic coding workflows.
undercodenews.com
January 23, 2026 at 12:58 PM
Breaking Barriers: GLM4-MoE Gets 65% Faster with SGLang Optimizations
The landscape of large language model (LLM) deployment is evolving rapidly, and Novita AI is at the forefront with a groundbreaking suite of performance enhancements for GLM4-MoE models. These models, known for their flexibility…
The landscape of large language model (LLM) deployment is evolving rapidly, and Novita AI is at the forefront with a groundbreaking suite of performance enhancements for GLM4-MoE models. These models, known for their flexibility…
The demo, showcasing products taxonomy classification with spreadsheet AI formula, used GLM-4.7, a model that excels at following complex instructions and tool use. Picking the right model for the job is part of the secret sauce. #ModelSelection #GLM4 #PromptEngineering
matasoft.hr/QTrendContro...
matasoft.hr/QTrendContro...
An example of using (Un)Perplexed Spready in a real life use case - Furniture catalog taxonomy classification
AI-driven spreadsheet software (Un)Perplexed Spready automates complex data tasks by integrating advanced AI models directly into spreadsheets. This article demonstrates how (Un)Perplexed Spready, combined with SearXNG, Matasoft Web Search tool and Ollama Cloud provided GLM-4.7 LLM model, can perform advanced AI-driven mapping and categorization of products to appropriate hierarchical product taxonomy.
matasoft.hr
January 24, 2026 at 2:50 PM
The demo, showcasing products taxonomy classification with spreadsheet AI formula, used GLM-4.7, a model that excels at following complex instructions and tool use. Picking the right model for the job is part of the secret sauce. #ModelSelection #GLM4 #PromptEngineering
matasoft.hr/QTrendContro...
matasoft.hr/QTrendContro...
The stack: (Un)Perplexed Spready + Ollama Cloud (GLM-4.7) + Open WebUI + Matasoft's web search tools. A powerful, privacy-focused, and cost-effective pipeline for AI data tasks. #TechStack #AIEngineering #Ollama #OllamaCloud #AffordableAI #GLM4 #OpenSourceAI #AI #LLM
matasoft.hr/QTrendContro...
matasoft.hr/QTrendContro...
An example of using (Un)Perplexed Spready in a real life use case - Furniture catalog taxonomy classification
AI-driven spreadsheet software (Un)Perplexed Spready automates complex data tasks by integrating advanced AI models directly into spreadsheets. This article demonstrates how (Un)Perplexed Spready, combined with SearXNG, Matasoft Web Search tool and Ollama Cloud provided GLM-4.7 LLM model, can perform advanced AI-driven mapping and categorization of products to appropriate hierarchical product taxonomy.
matasoft.hr
January 10, 2026 at 9:21 PM
The stack: (Un)Perplexed Spready + Ollama Cloud (GLM-4.7) + Open WebUI + Matasoft's web search tools. A powerful, privacy-focused, and cost-effective pipeline for AI data tasks. #TechStack #AIEngineering #Ollama #OllamaCloud #AffordableAI #GLM4 #OpenSourceAI #AI #LLM
matasoft.hr/QTrendContro...
matasoft.hr/QTrendContro...
Ollama Cloud is a game-changer: access powerful open-source models without high-end hardware at a fraction of commercial API cost. This products taxonomy classification demo runs on it. Well done, Ollama! #Ollama #OllamaCloud #AffordableAI #GLM4 #OpenSourceAI #AI #LLM
matasoft.hr/QTrendContro...
matasoft.hr/QTrendContro...
An example of using (Un)Perplexed Spready in a real life use case - Furniture catalog taxonomy classification
AI-driven spreadsheet software (Un)Perplexed Spready automates complex data tasks by integrating advanced AI models directly into spreadsheets. This article demonstrates how (Un)Perplexed Spready, com...
matasoft.hr
January 10, 2026 at 2:25 PM
Ollama Cloud is a game-changer: access powerful open-source models without high-end hardware at a fraction of commercial API cost. This products taxonomy classification demo runs on it. Well done, Ollama! #Ollama #OllamaCloud #AffordableAI #GLM4 #OpenSourceAI #AI #LLM
matasoft.hr/QTrendContro...
matasoft.hr/QTrendContro...
GLM-4.7 is used for this demo—currently one of the best open-source LLMs, surpassing models like kimi-k2. See what it can do in a practical spreadsheet task of products taxonomy classification.
matasoft.hr/QTrendContro...
#GLM4 #OpenSourceAI #Benchmarks
#AIAdvantage #SpreadsheetFormula #AI #LLM
matasoft.hr/QTrendContro...
#GLM4 #OpenSourceAI #Benchmarks
#AIAdvantage #SpreadsheetFormula #AI #LLM
An example of using (Un)Perplexed Spready in a real life use case - Furniture catalog taxonomy classification
AI-driven spreadsheet software (Un)Perplexed Spready automates complex data tasks by integrating advanced AI models directly into spreadsheets. This article demonstrates how (Un)Perplexed Spready, com...
matasoft.hr
January 10, 2026 at 10:07 AM
GLM-4.7 is used for this demo—currently one of the best open-source LLMs, surpassing models like kimi-k2. See what it can do in a practical spreadsheet task of products taxonomy classification.
matasoft.hr/QTrendContro...
#GLM4 #OpenSourceAI #Benchmarks
#AIAdvantage #SpreadsheetFormula #AI #LLM
matasoft.hr/QTrendContro...
#GLM4 #OpenSourceAI #Benchmarks
#AIAdvantage #SpreadsheetFormula #AI #LLM
The task: "Map this product to this list of categories." Simple for a human, when 10 rows, becomes tedious for thousands of rows. This article demonstrates automating it with AI, combining existing data with reasoning and web research. #DataMapping #AIProductivity
www.linkedin.com/posts/mataso...
www.linkedin.com/posts/mataso...
#llms #glm4 #aiprogress #aiautomation #webscraping #webresearch #automation #unperplexedspready #opensourcellm #retail #taxonomy #ai #llm #spreadsheetai #dataanalysis #datacategorization… | Matasoft -...
GLM-4.7 is the best open-source LLM model so far!
See it in action in spreadsheet formula taxonomical products classification with (Un)Perlexed Spready (in combination with Ollama, Open WebUI, SearXNG...
www.linkedin.com
January 8, 2026 at 7:50 PM
The task: "Map this product to this list of categories." Simple for a human, when 10 rows, becomes tedious for thousands of rows. This article demonstrates automating it with AI, combining existing data with reasoning and web research. #DataMapping #AIProductivity
www.linkedin.com/posts/mataso...
www.linkedin.com/posts/mataso...
GLM-4.7 is the best open-source LLM model so far!
See it in action in spreadsheet formula taxonomical products classification with (Un)Perlexed Spready (in combination with Ollama, Open WebUI, SearXNG): matasoft.hr/QTrendContro...
#LLMs #GLM4 #AIProgress #AIautomation #WebScraping #WebResearch #BI
See it in action in spreadsheet formula taxonomical products classification with (Un)Perlexed Spready (in combination with Ollama, Open WebUI, SearXNG): matasoft.hr/QTrendContro...
#LLMs #GLM4 #AIProgress #AIautomation #WebScraping #WebResearch #BI
An example of using (Un)Perplexed Spready in a real life use case - Furniture catalog taxonomy classification
AI-driven spreadsheet software (Un)Perplexed Spready automates complex data tasks by integrating advanced AI models directly into spreadsheets. This article demonstrates how (Un)Perplexed Spready, com...
matasoft.hr
January 7, 2026 at 3:27 PM
GLM-4.7 is the best open-source LLM model so far!
See it in action in spreadsheet formula taxonomical products classification with (Un)Perlexed Spready (in combination with Ollama, Open WebUI, SearXNG): matasoft.hr/QTrendContro...
#LLMs #GLM4 #AIProgress #AIautomation #WebScraping #WebResearch #BI
See it in action in spreadsheet formula taxonomical products classification with (Un)Perlexed Spready (in combination with Ollama, Open WebUI, SearXNG): matasoft.hr/QTrendContro...
#LLMs #GLM4 #AIProgress #AIautomation #WebScraping #WebResearch #BI
The beauty of advanced LLMs? They understand intent even with typos. The article's prompt had errors, but GLM-4.7 executed the taxonomy mapping flawlessly. #LLMs #GLM4 #AIProgress #AIautomation #WebScraping #WebResearch #Automation #UnPerplexedSpready #OpenSourceLLM
matasoft.hr/QTrendContro...
matasoft.hr/QTrendContro...
An example of using (Un)Perplexed Spready in a real life use case - Furniture catalog taxonomy classification
AI-driven spreadsheet software (Un)Perplexed Spready automates complex data tasks by integrating advanced AI models directly into spreadsheets. This article demonstrates how (Un)Perplexed Spready, com...
matasoft.hr
January 7, 2026 at 3:10 PM
The beauty of advanced LLMs? They understand intent even with typos. The article's prompt had errors, but GLM-4.7 executed the taxonomy mapping flawlessly. #LLMs #GLM4 #AIProgress #AIautomation #WebScraping #WebResearch #Automation #UnPerplexedSpready #OpenSourceLLM
matasoft.hr/QTrendContro...
matasoft.hr/QTrendContro...
GLM-4-32B &GLM-Z1-32B w fixes lead local llms
www.reddit.com/r/LocalLLaMA...
apidog.com/blog/glm-4-3...
GLM-4-9B pretty good too
github.com/pwilkin/glm4...
DeepCoder, Qwen2.5-coder, QwQ, Gemma3 last months darlings. Deja vu, long ago I checked comp tests often
www.mattmahoney.net/dc/text.html
www.reddit.com/r/LocalLLaMA...
apidog.com/blog/glm-4-3...
GLM-4-9B pretty good too
github.com/pwilkin/glm4...
DeepCoder, Qwen2.5-coder, QwQ, Gemma3 last months darlings. Deja vu, long ago I checked comp tests often
www.mattmahoney.net/dc/text.html
April 26, 2025 at 6:48 PM
GLM-4-32B &GLM-Z1-32B w fixes lead local llms
www.reddit.com/r/LocalLLaMA...
apidog.com/blog/glm-4-3...
GLM-4-9B pretty good too
github.com/pwilkin/glm4...
DeepCoder, Qwen2.5-coder, QwQ, Gemma3 last months darlings. Deja vu, long ago I checked comp tests often
www.mattmahoney.net/dc/text.html
www.reddit.com/r/LocalLLaMA...
apidog.com/blog/glm-4-3...
GLM-4-9B pretty good too
github.com/pwilkin/glm4...
DeepCoder, Qwen2.5-coder, QwQ, Gemma3 last months darlings. Deja vu, long ago I checked comp tests often
www.mattmahoney.net/dc/text.html
adaptable to complex software engineering workflows. GLM4 Flash, a large language model, leverages its advanced capabilities in natural language understanding, contextual reasoning, and multilingual support to generate [4/8 of https://arxiv.org/abs/2502.18465v1]
February 27, 2025 at 5:59 AM
adaptable to complex software engineering workflows. GLM4 Flash, a large language model, leverages its advanced capabilities in natural language understanding, contextual reasoning, and multilingual support to generate [4/8 of https://arxiv.org/abs/2502.18465v1]
proposed system integrates three core components LangGraph, GLM4 Flash, and ChromaDB within a four step iterative workflow to deliver robust performance and seamless functionality.
LangGraph serves as a graph-based library [2/8 of https://arxiv.org/abs/2502.18465v1]
LangGraph serves as a graph-based library [2/8 of https://arxiv.org/abs/2502.18465v1]
February 27, 2025 at 5:59 AM
proposed system integrates three core components LangGraph, GLM4 Flash, and ChromaDB within a four step iterative workflow to deliver robust performance and seamless functionality.
LangGraph serves as a graph-based library [2/8 of https://arxiv.org/abs/2502.18465v1]
LangGraph serves as a graph-based library [2/8 of https://arxiv.org/abs/2502.18465v1]
Qwen2.5-Turbo performs excellently in various long-text tasks, such as scoring 93.1 in the RULER benchmark test, surpassing GPT-4's 91.6 and GLM4-9B-1M's 89.9. At the same time, it remains competitive in short-text tasks, comparable to GPT-4o-mini.
November 18, 2024 at 12:28 PM
Qwen2.5-Turbo performs excellently in various long-text tasks, such as scoring 93.1 in the RULER benchmark test, surpassing GPT-4's 91.6 and GLM4-9B-1M's 89.9. At the same time, it remains competitive in short-text tasks, comparable to GPT-4o-mini.
