FreePublished on GitHub

chinese-llama-alpaca-2

Routes Chinese-LLaMA-Alpaca-2 training, inference, serving, evaluation, and integration workflows.

The English summary is being prepared. Showing the original description.

VectorSpaceLab/AREX-Skill

Works withOpenAI

Run score Not tested

See how to install

Files included (74)

SKILL.md2.8 KB
assets/prompts/alpaca-2-long.txt140 B
assets/prompts/alpaca-2.txt65 B
assets/tokenizer/special_tokens_map.json435 B
assets/tokenizer/tokenizer_config.json748 B
assets/tokenizer/tokenizer.model824.6 KB
references/model-overview.md2.3 KB
references/prompt-and-tokenizer.md1012 B
references/repo-provenance.md1.4 KB
references/repo-routing-metadata.json568 B
references/troubleshooting.md2.8 KB
references/workflows.md3.8 KB
sub-skills/api-serving/references/troubleshooting.md1.2 KB
sub-skills/api-serving/references/workflows.md2.1 KB
sub-skills/api-serving/scripts/attn_and_long_ctx_patches.py10.1 KB
sub-skills/api-serving/scripts/openai_server_demo/openai_api_protocol_vllm.py5.0 KB
sub-skills/api-serving/scripts/openai_server_demo/openai_api_protocol.py2.6 KB
sub-skills/api-serving/scripts/openai_server_demo/openai_api_server_vllm.py26.2 KB
sub-skills/api-serving/scripts/openai_server_demo/openai_api_server.py12.7 KB
sub-skills/api-serving/SKILL.md1.9 KB
sub-skills/evaluation/references/troubleshooting.md1.2 KB
sub-skills/evaluation/references/workflows.md2.1 KB
sub-skills/evaluation/scripts/attn_and_long_ctx_patches.py10.1 KB
sub-skills/evaluation/scripts/ceval/eval.py4.8 KB
sub-skills/evaluation/scripts/ceval/evaluator.py1.5 KB
sub-skills/evaluation/scripts/ceval/llama_evaluator.py9.5 KB
sub-skills/evaluation/scripts/ceval/subject_mapping.json5.2 KB
sub-skills/evaluation/scripts/cmmlu/categories.py5.9 KB
sub-skills/evaluation/scripts/cmmlu/eval.py5.2 KB
sub-skills/evaluation/scripts/cmmlu/evaluator.py1.5 KB
sub-skills/evaluation/scripts/cmmlu/llama2_evaluator.py9.6 KB
sub-skills/evaluation/scripts/longbench/config/dataset2maxlen.json459 B
sub-skills/evaluation/scripts/longbench/config/dataset2prompt.json5.3 KB
sub-skills/evaluation/scripts/longbench/eval.py3.8 KB
sub-skills/evaluation/scripts/longbench/metrics.py5.5 KB
sub-skills/evaluation/scripts/longbench/pred_llama2.py9.0 KB
sub-skills/evaluation/scripts/longbench/requirements.txt70 B
sub-skills/evaluation/SKILL.md1.9 KB
sub-skills/hf-inference/references/troubleshooting.md1.2 KB
sub-skills/hf-inference/references/workflows.md1.9 KB
sub-skills/hf-inference/scripts/attn_and_long_ctx_patches.py10.1 KB
sub-skills/hf-inference/scripts/inference/flash_attn_patch_for_inference.py3.4 KB
sub-skills/hf-inference/scripts/inference/gradio_demo.py24.1 KB
sub-skills/hf-inference/scripts/inference/inference_hf.py21.0 KB
sub-skills/hf-inference/scripts/inference/speculative_sample.py19.9 KB
sub-skills/hf-inference/SKILL.md2.3 KB
sub-skills/local-integrations/references/troubleshooting.md1.1 KB
sub-skills/local-integrations/references/workflows.md1.8 KB
sub-skills/local-integrations/scripts/llama-cpp/chat.sh702 B
sub-skills/local-integrations/scripts/llama-cpp/server_curl_example.sh706 B
sub-skills/local-integrations/SKILL.md1.8 KB
sub-skills/train-and-merge/references/troubleshooting.md1.4 KB
sub-skills/train-and-merge/references/workflows.md2.2 KB
sub-skills/train-and-merge/scripts/merge_llama2_with_chinese_lora_low_mem.py15.0 KB
sub-skills/train-and-merge/scripts/training/build_dataset.py3.9 KB
sub-skills/train-and-merge/scripts/training/ds_zero2_no_offload.json686 B
sub-skills/train-and-merge/scripts/training/peft/__init__.py1.6 KB
sub-skills/train-and-merge/scripts/training/peft/mapping.py5.5 KB
sub-skills/train-and-merge/scripts/training/peft/peft_model.py42.7 KB
sub-skills/train-and-merge/scripts/training/peft/tuners/__init__.py1.0 KB
sub-skills/train-and-merge/scripts/training/peft/tuners/lora.py32.6 KB
sub-skills/train-and-merge/scripts/training/peft/tuners/p_tuning.py6.5 KB
sub-skills/train-and-merge/scripts/training/peft/tuners/prefix_tuning.py3.6 KB
sub-skills/train-and-merge/scripts/training/peft/tuners/prompt_tuning.py4.7 KB
sub-skills/train-and-merge/scripts/training/peft/utils/__init__.py1.2 KB
sub-skills/train-and-merge/scripts/training/peft/utils/adapters_utils.py730 B
sub-skills/train-and-merge/scripts/training/peft/utils/config.py6.4 KB
sub-skills/train-and-merge/scripts/training/peft/utils/other.py3.7 KB
sub-skills/train-and-merge/scripts/training/peft/utils/save_and_load.py3.2 KB
sub-skills/train-and-merge/scripts/training/run_clm_pt_with_peft.py31.8 KB
sub-skills/train-and-merge/scripts/training/run_clm_sft_with_peft.py21.1 KB
sub-skills/train-and-merge/scripts/training/run_pt.sh1.9 KB
sub-skills/train-and-merge/scripts/training/run_sft.sh2.1 KB
sub-skills/train-and-merge/SKILL.md2.3 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Chinese-LLaMA-Alpaca-2

This skill routes work for the Chinese-LLaMA-2 and Chinese-Alpaca-2 repository. It is intentionally a router, not a full manual.

Use it when a task mentions:

Chinese-LLaMA-2 or Chinese-Alpaca-2 model paths, tokenizers, or prompts
pretraining, SFT, LoRA merging, or model conversion
local generation, Gradio chat, speculative sampling, or long-context helpers
OpenAI-compatible serving, HTTP endpoints, or deployment wrappers
C-Eval, CMMLU, LongBench, or benchmark result files
llama.cpp launch wrappers or the repo's retrieval-style integration notes

Pick a sub-skill

Task family	Read
Dataset prep, pretraining, SFT, or merge/export	`sub-skills/train-and-merge/SKILL.md`
Transformers inference, chat UI, speculative sampling, or prompt wrapping	`sub-skills/hf-inference/SKILL.md`
OpenAI-style API serving or the FastAPI server	`sub-skills/api-serving/SKILL.md`
C-Eval, CMMLU, or LongBench evaluation	`sub-skills/evaluation/SKILL.md`
llama.cpp wrappers or external integration notes	`sub-skills/local-integrations/SKILL.md`

Bundled assets

assets/prompts/alpaca-2.txt
assets/prompts/alpaca-2-long.txt
assets/tokenizer/

Read references/prompt-and-tokenizer.md before changing prompt text or tokenizer assumptions.

Cross-cutting references

references/workflows.md for the repository's main workflow map
references/model-overview.md for model family, context, and backend compatibility guidance
references/troubleshooting.md for shared failure modes
references/repo-provenance.md for source commit and staleness checks
references/repo-routing-metadata.json for router import metadata

Router behavior

Prefer the most specific sub-skill.
Use the training sub-skill for data preparation or merge/export questions even when the task also mentions inference.
Use the inference sub-skill for local generation or chat UX questions even when the task mentions prompt templates.
Use the API-serving sub-skill for OpenAI-compatible HTTP responses, request schemas, or deployment flags.
Use the evaluation sub-skill for benchmark configuration and result files, not for general model comparison prose.
Use the local-integrations sub-skill for llama.cpp wrappers and the external integration notes around retrieval-style examples.

Notes

The generated runtime skill is self-contained; do not rely on the source checkout staying available.
If a task needs more detail than this router provides, open the nearest references/*.md file instead of widening the router itself.

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See all skills by VectorSpaceLab

Report a problem with this skill

Install

Install with a command

npx skills add https://github.com/VectorSpaceLab/AREX-Skill --skill chinese-llama-alpaca-2

Paste it into your terminal and run it (requires Node.js). You can choose which agents to install it for, such as Claude Code or Codex.

Ask your agent

Please install the following Agent Skill.
https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/chinese-llama-alpaca-2

First review SKILL.md and the bundled files and confirm there is nothing suspicious (such as sending data externally or reading credentials). Then place it in ~/.claude/skills/chinese-llama-alpaca-2/ for Claude Code, or ~/.agents/skills/chinese-llama-alpaca-2/ for Codex.

Send this text to Claude Code or Codex as is. It checks the contents before installing.

View source on GitHub

Repository: VectorSpaceLab/AREX-Skill
Stars: 341
Forks: 26
Category: Productivity
License: Apache-2.0
Original language: English
Last updated: Sep 3, 2026

A skill is a set of instructions and scripts for an agent. cccskills does not guarantee that skills are safe. Review the contents before you install.

Files included (74)

SKILL.md (original)

Chinese-LLaMA-Alpaca-2

Pick a sub-skill

Bundled assets

Cross-cutting references

Router behavior

Notes

Reviews

Comments

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