--- title: "LongWriter vs Chinese-LLaMA-Alpaca-2" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/thudm-longwriter-vs-ymcui-chinese-llama-alpaca-2" tools: ["thudm-longwriter", "ymcui-chinese-llama-alpaca-2"] --- # LongWriter vs Chinese-LLaMA-Alpaca-2 *GraphCanon updated Sep 20, 2026* ## Verdict Pick LongWriter if longWriter specializes in exceeding the text generation limit to over 10,000 words using long-context LLMs for Python-based development; pick Chinese-LLaMA-Alpaca-2 if chinese-LLaMA-Alpaca-2 provides Chinese versions of LLaMA-2 and Alpaca-2 large language models, including long context models up to 64K. It includes pretraining and instruction fine-tuning scripts, and supports various部署. [LongWriter](https://github.com/THUDM/LongWriter) reports 1.9k GitHub stars, 182 forks, and 32 open issues, last pushed Jun 24, 2025. [Chinese-LLaMA-Alpaca-2](https://github.com/ymcui/Chinese-LLaMA-Alpaca-2) has 7.1k stars, 559 forks, and 6 open issues, last pushed Apr 19, 2026. Figures are from public GitHub metadata via [LongWriter's repository](https://github.com/THUDM/LongWriter) and [Chinese-LLaMA-Alpaca-2's repository](https://github.com/ymcui/Chinese-LLaMA-Alpaca-2). | | [LongWriter](/tools/thudm-longwriter.md) | [Chinese-LLaMA-Alpaca-2](/tools/ymcui-chinese-llama-alpaca-2.md) | | --- | --- | --- | | Tagline | LongWriter enables generation of texts longer than 10,000 words using long-context LLMs | Chinese LLaMA-2 & Alpaca-2 LLMs with 64K long context models | | Stars | 1,876 | 7,118 | | Forks | 182 | 559 | | Open issues | 32 | 6 | | Language | Python | Python | | Adopt for | LongWriter specializes in exceeding the text generation limit to over 10,000 words using long-context LLMs for Python-based development. | Chinese-LLaMA-Alpaca-2 provides Chinese versions of LLaMA-2 and Alpaca-2 large language models, including long context models up to 64K. It includes pretraining and instruction fine-tuning scripts, and supports various部署 | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | LLM Frameworks, Model Training | Inference & Serving, LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [LongWriter](/tools/thudm-longwriter.md) | [Chinese-LLaMA-Alpaca-2](/tools/ymcui-chinese-llama-alpaca-2.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 452d | 152d | | Open issues (now) | 32 | 6 | | Stars delta | +8 (30d) | -6 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/thudm-longwriter/trust.md) | [trust report](/tools/ymcui-chinese-llama-alpaca-2/trust.md) | ## Decision facts: LongWriter - **Adopt for:** LongWriter specializes in exceeding the text generation limit to over 10,000 words using long-context LLMs for Python-based development. ## Decision facts: Chinese-LLaMA-Alpaca-2 - **Adopt for:** Chinese-LLaMA-Alpaca-2 provides Chinese versions of LLaMA-2 and Alpaca-2 large language models, including long context models up to 64K. It includes pretraining and instruction fine-tuning scripts, and supports various部署 ## Choose when ### Choose LongWriter if… - Tags unique to LongWriter: fine-tuning, llm, long-context, long-text. - For projects requiring texts longer than 10,000 words with fine-tuned llm models ### Choose Chinese-LLaMA-Alpaca-2 if… - Tags unique to Chinese-LLaMA-Alpaca-2: 64k, alpaca, alpaca-2, flash-attention. - Also covers Inference & Serving. - When you need Chinese-specific large language models with long context capabilities up to 64K. ## When NOT to use LongWriter - Avoid for short-form content generation where LLM context is less relevant - Not ideal when the requirement is to maintain conciseness in output texts ## When NOT to use Chinese-LLaMA-Alpaca-2 - If you need models that support languages other than Chinese, as this repository focuses on Chinese models. - If you require models with shorter context lengths than 4K, as the standard models support 4K and the long context models support 16K and 64K. - If you are looking for models that do not include human preference alignment (RLHF), as this repository includes models that have been fine-tuned for this purpose. ## Common questions ### What is the difference between LongWriter and Chinese-LLaMA-Alpaca-2? LongWriter: LongWriter enables generation of texts longer than 10,000 words using long-context LLMs. Chinese-LLaMA-Alpaca-2: Chinese LLaMA-2 & Alpaca-2 LLMs with 64K long context models. See the comparison table for live GitHub stats and shared categories. ### When should I choose LongWriter over Chinese-LLaMA-Alpaca-2? Choose LongWriter over Chinese-LLaMA-Alpaca-2 when Tags unique to LongWriter: fine-tuning, llm, long-context, long-text; For projects requiring texts longer than 10,000 words with fine-tuned llm models. ### When should I choose Chinese-LLaMA-Alpaca-2 over LongWriter? Choose Chinese-LLaMA-Alpaca-2 over LongWriter when Tags unique to Chinese-LLaMA-Alpaca-2: 64k, alpaca, alpaca-2, flash-attention; Also covers Inference & Serving; When you need Chinese-specific large language models with long context capabilities up to 64K. ### When should I avoid LongWriter? Avoid for short-form content generation where LLM context is less relevant Not ideal when the requirement is to maintain conciseness in output texts ### When should I avoid Chinese-LLaMA-Alpaca-2? If you need models that support languages other than Chinese, as this repository focuses on Chinese models. If you require models with shorter context lengths than 4K, as the standard models support 4K and the long context models support 16K and 64K. If you are looking for models that do not include human preference alignment (RLHF), as this repository includes models that have been fine-tuned for this purpose. ### Is LongWriter or Chinese-LLaMA-Alpaca-2 more popular on GitHub? Chinese-LLaMA-Alpaca-2 has more GitHub stars (7,118 vs 1,876). Stars measure visibility, not whether either tool fits your constraints. ### Are LongWriter and Chinese-LLaMA-Alpaca-2 open source? Yes - both are open-source projects on GitHub (LongWriter: Apache-2.0, Chinese-LLaMA-Alpaca-2: Apache-2.0). ### Where can I find alternatives to LongWriter or Chinese-LLaMA-Alpaca-2? GraphCanon lists graph-backed alternatives at [LongWriter alternatives](/tools/thudm-longwriter/alternatives) and [Chinese-LLaMA-Alpaca-2 alternatives](/tools/ymcui-chinese-llama-alpaca-2/alternatives) ([LongWriter markdown twin](/tools/thudm-longwriter/alternatives.md), [Chinese-LLaMA-Alpaca-2 markdown twin](/tools/ymcui-chinese-llama-alpaca-2/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/thudm-longwriter-vs-ymcui-chinese-llama-alpaca-2.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, LongWriter or Chinese-LLaMA-Alpaca-2? LongWriter: Dormant. Chinese-LLaMA-Alpaca-2: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for LongWriter and Chinese-LLaMA-Alpaca-2? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [LongWriter trust report](/tools/thudm-longwriter/trust); [Chinese-LLaMA-Alpaca-2 trust report](/tools/ymcui-chinese-llama-alpaca-2/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=thudm-longwriter`](/api/graphcanon/graph?tool=thudm-longwriter) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_