Instructions to use sorryhyun/HyperCLOVAX-SEED-Text-Instruct-1.5B-gguf-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use sorryhyun/HyperCLOVAX-SEED-Text-Instruct-1.5B-gguf-bf16 with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf sorryhyun/HyperCLOVAX-SEED-Text-Instruct-1.5B-gguf-bf16:BF16 # Run inference directly in the terminal: llama cli -hf sorryhyun/HyperCLOVAX-SEED-Text-Instruct-1.5B-gguf-bf16:BF16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf sorryhyun/HyperCLOVAX-SEED-Text-Instruct-1.5B-gguf-bf16:BF16 # Run inference directly in the terminal: llama cli -hf sorryhyun/HyperCLOVAX-SEED-Text-Instruct-1.5B-gguf-bf16:BF16
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf sorryhyun/HyperCLOVAX-SEED-Text-Instruct-1.5B-gguf-bf16:BF16 # Run inference directly in the terminal: ./llama-cli -hf sorryhyun/HyperCLOVAX-SEED-Text-Instruct-1.5B-gguf-bf16:BF16
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf sorryhyun/HyperCLOVAX-SEED-Text-Instruct-1.5B-gguf-bf16:BF16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf sorryhyun/HyperCLOVAX-SEED-Text-Instruct-1.5B-gguf-bf16:BF16
Use Docker
docker model run hf.co/sorryhyun/HyperCLOVAX-SEED-Text-Instruct-1.5B-gguf-bf16:BF16
- LM Studio
- Jan
- Ollama
How to use sorryhyun/HyperCLOVAX-SEED-Text-Instruct-1.5B-gguf-bf16 with Ollama:
ollama run hf.co/sorryhyun/HyperCLOVAX-SEED-Text-Instruct-1.5B-gguf-bf16:BF16
- Unsloth Desktop
- Docker Model Runner
How to use sorryhyun/HyperCLOVAX-SEED-Text-Instruct-1.5B-gguf-bf16 with Docker Model Runner:
docker model run hf.co/sorryhyun/HyperCLOVAX-SEED-Text-Instruct-1.5B-gguf-bf16:BF16
- Lemonade
How to use sorryhyun/HyperCLOVAX-SEED-Text-Instruct-1.5B-gguf-bf16 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull sorryhyun/HyperCLOVAX-SEED-Text-Instruct-1.5B-gguf-bf16:BF16
Run and chat with the model
lemonade run user.HyperCLOVAX-SEED-Text-Instruct-1.5B-gguf-bf16-BF16
List all available models
lemonade list
- Atomic Chat
Upload 4 files
Browse files- .gitattributes +1 -0
- HyperCLOVAX-SEED-Text-Instruct-1.5B-gguf-bf16.gguf +3 -0
- LICENSE.md +3 -0
- Readme.md +31 -0
- result.json +1 -0
.gitattributes
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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HyperCLOVAX-SEED-Text-Instruct-1.5B-gguf-bf16.gguf filter=lfs diff=lfs merge=lfs -text
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HyperCLOVAX-SEED-Text-Instruct-1.5B-gguf-bf16.gguf
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LICENSE.md
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HyperCLOVA X SEED Model is licensed under the HyperCLOVA X SEED Model License Agreement, Copyright Β© NAVER Corp. All Rights Reserved.
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Powered by HyperCLOVA X
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Readme.md
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llama.cppλ₯Ό μ¬μ©ν΄ ggufλ‘ λ³ννμ΅λλ€.
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```python
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from llama_cpp import Llama
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llm = Llama(
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model_path="HyperCLOVAX-SEED-Text-Instruct-1.5B-gguf-bf16.gguf",
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n_gpu_layers=-1,
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main_gpu=0,
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n_ctx=2048
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)
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output = llm(
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"μ¬λ―Έμλ μ΄μΌκΈ° νλ λ§λ€μ΄μ€. 1000μ μ΄μμ΄μ΄μΌ ν΄. μμ:", # Prompt
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max_tokens=2048,
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echo=True,
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)
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print(output)
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```
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geforce 3070 RTXλ‘ ν
μ€νΈνμΌλ©°, μ±λ₯μ λ€μκ³Ό κ°μ΅λλ€.
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```angular2html
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bf16, peak: 4GB
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llama_perf_context_print: load time = 210.50 ms
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llama_perf_context_print: prompt eval time = 210.42 ms / 19 tokens ( 11.07 ms per token, 90.30 tokens per second)
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llama_perf_context_print: eval time = 17923.17 ms / 2028 runs ( 8.84 ms per token, 113.15 tokens per second)
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llama_perf_context_print: total time = 21307.79 ms / 2047 tokens
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```
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result.json
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{'id': 'cmpl-3883ad5a-2005-49ed-93bb-bc851884ce70', 'object': 'text_completion', 'created': 1745564771, 'model': 'HyperCLOVAX-SEED-Text-Instruct-1.5B-gguf-bf16.gguf', 'choices': [{'text': 'μ¬λ―Έμλ μ΄μΌκΈ° νλ λ§λ€μ΄μ€. 1000μ μ΄μμ΄μ΄μΌ ν΄. μμ: 1. μ΄λ λ , μμ λ§μμ ν μλ
μ΄ μ΄κ³ μμμ΄μ. μλ
μ λ§μμμ κ°μ₯ μ’μνλ κ°μμΈ μ΄μ½λ¦Ώ μΏ ν€λ₯Ό λ§λ€κΈ° μν΄ λ§€μΌ μμΉ¨ μΌμ° μΌμ΄λμ μΏ ν€λ₯Ό κ΅½κ³€ νμ£ . κ·Έλ¦¬κ³ μΏ ν€λ₯Ό λ€ λ§λ€λ©΄, κ·Έλ λ§μ μ¬λλ€μκ² λλ μ£Όλ©° ν볡μ λλκ³€ νμ΄μ. μ΄λ λ , μλ
μ μΏ ν€λ₯Ό κ΅½λ λμ€μ μΏ ν€ μμ μμ μ΄μ½λ¦Ώ λΉλκ° λ€μ΄μλ κ²μ λ°κ²¬νμ΄μ. κ·Έλ¦¬κ³ κ·Έ λΉλκ° μ΄μ½λ¦Ώ λ§ λμ μ μ¬λ―Έμλ μΌμ΄ λ²μ΄μ§ μ μλ λ§λ²μ λΉλλΌλ κ²μ μκ² λμμ£ .\n\n2. μλ
μ μΏ ν€ μμμ λμ¨ λ§λ²μ λΉλλ₯Ό κ°μ§κ³ μΉκ΅¬λ€μκ² λλ μ£Όμμ΄μ. κ·Έλ¦¬κ³ κ·Έλ€μ μΏ ν€λ₯Ό λ¨ΉμΌλ©΄μ μλ‘μ΄ κ²½νμ νκ² λμμ£ . μλ₯Ό λ€μ΄, μΏ ν€λ₯Ό λ¨Ήμ μλ
μ λ§μμμ κ°μ₯ λμ λ무 κΌλκΈ°μμ λ°μ΄λ΄λ¦¬λ©΄μ νλμ λ μ μμκ³ , λ§μμμ κ°μ₯ λΉ λ₯Έ λ¬λ¦¬κΈ° λνμμ 1λ±μ νκ² λμμ΅λλ€. κ·Έλ¦¬κ³ μΏ ν€λ₯Ό λ¨Ήμ μΉκ΅¬λ€λ λΉμ·ν κ²½νμ νκ² λμμ΅λλ€.\n\n3. νμ§λ§, μΏ ν€λ₯Ό λ¨Ήμ μλ
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κ³Ό μΉκ΅¬λ€μ κ·Έ λνμ μ°Έμ¬νκΈ°λ‘ νμ΅λλ€.\n\n4. λν λΉμΌ, μλ
κ³Ό μΉκ΅¬λ€μ λ§μμμ κ°μ₯ ν° μκΈμ κ±Έκ³ λ¬λ¦¬κΈ° λνμ μ°Έμ¬νμ΄μ. λνμμλ μ¬λ¬ κ°μ§ μ¬λ―Έμλ μ΄λ²€νΈκ° μ΄λ Έμ΄μ. μλ₯Ό λ€μ΄, λ§μμμ κ°μ₯ λΉ λ₯Έ λ¬λ¦¬κΈ° λνμμ 1λ±μ ν μλ
μ΄ μΏ ν€ μμ λ§λ²μ λΉλλ₯Ό μ¬μ©νμ¬ νλμ λ κ³ λ§μμ λΉ λ₯΄κ² λμλ€λλ©°, λνλ₯Ό μ μνλ λͺ¨μ΅μ΄ μμμ£ . κ·Έλ¦¬κ³ μΏ ν€λ₯Ό λ¨Ήμ λ€λ₯Έ μΉκ΅¬λ€μ λ§μμμ κ°μ₯ λΉ λ₯Έ λ¬λ¦¬κΈ° λνμμ 1λ±μ νμ¬ μΏ ν€ μμ λ§λ²μ λΉλλ₯Ό μ¬μ©νμ¬ λ§μμ λΉ λ₯΄κ² λμλ€λλ©°, λ€λ₯Έ μΉκ΅¬λ€μ μ μνλ λͺ¨μ΅μ΄ μμμ£ .\n\n5. λνμμλ λ λ€λ₯Έ μ¬λ―Έμλ μ΄λ²€νΈκ° μ΄λ Έμ΄μ. λ§μμμ κ°μ₯ λΉ λ₯Έ λ¬λ¦¬κΈ° λνμμ 1λ±μ ν μλ
μ΄ μΏ ν€ μμ λ§λ²μ λΉλλ₯Ό μ¬μ©νμ¬ λ§μμ λΉ λ₯΄κ² λμλ€λλ©°, λνλ₯Ό μ μνλ λͺ¨μ΅μ΄ μμμ£ . κ·Έλ¦¬κ³ μΏ ν€λ₯Ό λ¨Ήμ λ€λ₯Έ μΉκ΅¬λ€μ λ§μμμ κ°μ₯ λΉ λ₯Έ λ¬λ¦¬κΈ° λνμμ 1λ±μ νμ¬ μΏ ν€ μμ λ§λ²μ λΉλλ₯Ό μ¬μ©νμ¬ λ§μμ λΉ λ₯΄κ² λμλ€λλ©°, λ€λ₯Έ μΉκ΅¬λ€μ μ μνλ λͺ¨μ΅μ΄ μμμ£ .\n\n6. μλ
κ³Ό μΉκ΅¬λ€μ μ μ λ λ§μ λ¬Έμ λ₯Ό μΌμΌν€κΈ° μμνμ΅λλ€. κ·Έλ€μ λ§μμμ κ°μ₯ ν° μκΈμ κ±Έκ³ λ¬λ¦¬κΈ° λνμ μ°Έμ¬νμ§λ§, λνμμ ν¨λ°°νκ³ λμ λ§μμμ κ°μ₯ ν° μκΈμ κ±Έκ³ λ¬λ¦¬κΈ° λνμ μ°Έμ¬νλ μλ
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κ³Ό μΉκ΅¬λ€μ λ§μμμ κ°μ₯ ν° μκΈμ κ±Έκ³ λ¬λ¦¬κΈ° λνμ μ°Έμ¬νμ§λ§, λνμμ ν¨λ°°νκ³ λμ λ§μμμ κ°μ₯ ν° μκΈμ κ±Έκ³ λ¬λ¦¬κΈ° λνμ μ°Έμ¬νλ μλ
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κ³Ό μΉκ΅¬λ€μ λ§μμμ κ°μ₯ ν° μκΈμ κ±Έκ³ λ¬λ¦¬κΈ° λνμ μ°Έμ¬νμ§λ§, λνμμ ν¨λ°°νκ³ λμ λ§μμμ κ°μ₯ ν° μκΈμ κ±Έκ³ λ¬λ¦¬κΈ° λνμ μ°Έμ¬νλ μλ
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κ³Ό μΉκ΅¬λ€μ λ§μμμ κ°μ₯ ν° μκΈμ κ±Έκ³ λ¬λ¦¬κΈ° λνμ μ°Έμ¬νμ§λ§, λνμμ ν¨λ°°νκ³ λμ λ§μμμ κ°μ₯ ν° μκΈμ κ±Έκ³ λ¬λ¦¬κΈ° λνμ μ°Έμ¬νλ μλ
κ³Ό μΉκ΅¬λ€μ λ§μμμ κ°μ₯ ν° μκΈμ κ±Έκ³ λ¬λ¦¬κΈ° λνμ μ°Έμ¬νμ§λ§, λνμμ ν¨λ°°νκ³ λμ λ§μμμ κ°μ₯ ν° μκΈμ κ±Έκ³ λ¬λ¦¬κΈ° λνμ μ°Έμ¬νλ μλ
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κ³Ό μΉκ΅¬λ€μ λ§μμμ κ°μ₯ ν° μκΈμ κ±Έκ³ λ¬λ¦¬κΈ° λνμ μ°Έμ¬νμ§λ§, λνμμ ν¨λ°°νκ³ λμ λ§μμμ κ°μ₯ ν° μκΈμ κ±Έκ³ λ¬λ¦¬κΈ° λνμ μ°Έμ¬νλ μλ
κ³Ό μΉκ΅¬λ€μ λ§μμμ κ°μ₯ ν° μκΈμ κ±Έκ³ λ¬λ¦¬κΈ° λνμ μ°Έμ¬νμ§λ§, λνμμ ν¨λ°°νκ³ λμ λ§μμμ κ°μ₯ ν° μκΈμ κ±Έκ³ λ¬λ¦¬κΈ° λνμ μ°Έμ¬νλ μλ
κ³Ό μΉκ΅¬λ€μ λ§μμμ κ°μ₯ ν° μκΈμ κ±Έκ³ λ¬λ¦¬κΈ° λνμ μ°Έμ¬νμ§λ§, λνμμ ν¨λ°°νκ³ λμ λ§μμμ κ°μ₯ ν° μκΈμ κ±Έκ³ λ¬λ¦¬κΈ° λνμ μ°Έμ¬νλ μλ
κ³Ό μΉκ΅¬λ€μ λ§μμμ κ°μ₯ ν° μκΈμ κ±Έκ³ λ¬λ¦¬κΈ° λνμ μ°Έμ¬νμ§λ§, λνμμ ν¨λ°°νκ³ λμ λ§μμμ κ°μ₯ ν° μκΈμ κ±Έκ³ λ¬λ¦¬κΈ° λνμ μ°Έμ¬νλ μλ
κ³Ό μΉκ΅¬λ€μ λ§μμμ κ°μ₯ ν° μκΈμ κ±Έκ³ λ¬λ¦¬κΈ° λνμ μ°Έμ¬νμ§λ§, λνμμ ν¨λ°°νκ³ λμ λ§μμμ κ°μ₯ ν° μκΈμ κ±Έκ³ λ¬λ¦¬κΈ° λνμ μ°Έμ¬νλ μλ
κ³Ό μΉκ΅¬λ€μ λ§μμμ κ°μ₯ ν° μκΈμ κ±Έκ³ λ¬λ¦¬κΈ° λνμ μ°Έμ¬νμ§λ§, λνμμ ν¨λ°°νκ³ λμ λ§μμμ κ°μ₯ ν° μκΈμ κ±Έκ³ λ¬λ¦¬κΈ° λνμ μ°Έμ¬νλ μλ
κ³Ό μΉκ΅¬λ€μ λ§μμμ κ°μ₯ ν° μκΈμ κ±Έκ³ λ¬λ¦¬κΈ° λνμ μ°Έμ¬νμ§λ§, λνμμ ν¨λ°°νκ³ λμ λ§μμμ κ°μ₯ ν° μκΈμ κ±Έκ³ λ¬λ¦¬κΈ° λνμ μ°Έμ¬νλ μλ
κ³Ό μΉκ΅¬λ€μ λ§μμμ κ°μ₯ ν° μκΈμ κ±Έκ³ λ¬λ¦¬κΈ° λνμ μ°Έμ¬νμ§λ§, λνμμ ν¨λ°°νκ³ λμ λ§μμμ κ°μ₯ ν° μκΈμ κ±Έκ³ λ¬λ¦¬κΈ° λνμ μ°Έμ¬νλ μλ
κ³Ό μΉκ΅¬λ€μ λ§μμμ κ°μ₯ ν° μκΈμ κ±Έκ³ λ¬λ¦¬κΈ° λνμ μ°Έμ¬νμ§λ§, λνμμ ν¨λ°°νκ³ λμ λ§μμμ κ°μ₯ ν° μκΈμ κ±Έκ³ λ¬λ¦¬κΈ° λνμ μ°Έμ¬νλ μλ
κ³Ό μΉκ΅¬λ€μ λ§μμμ κ°μ₯ ν° μκΈμ κ±Έκ³ λ¬λ¦¬κΈ° λνμ μ°Έμ¬νμ§λ§, λνμμ ν¨λ°°νκ³ λμ λ§μμμ κ°μ₯ ν° μκΈμ κ±Έκ³ λ¬λ¦¬κΈ° λνμ μ°Έμ¬νλ μλ
κ³Ό μΉκ΅¬λ€μ λ§μμμ κ°μ₯ ν° μκΈμ κ±Έκ³ λ¬λ¦¬κΈ° λνμ μ°Έμ¬νμ§λ§, λνμμ ν¨λ°°νκ³ λμ λ§μμμ κ°μ₯ ν° μκΈμ κ±Έκ³ λ¬λ¦¬κΈ° λνμ μ°Έμ¬νλ μλ
κ³Ό μΉκ΅¬λ€μ λ§μμμ κ°μ₯ ν° μκΈμ κ±Έκ³ λ¬λ¦¬κΈ° λνμ μ°Έμ¬νμ§λ§, λνμμ ν¨λ°°νκ³ λμ λ§μμμ κ°μ₯ ν° μκΈμ κ±Έκ³ λ¬λ¦¬κΈ° λνμ μ°Έμ¬νλ μλ
κ³Ό μΉκ΅¬λ€μ λ§μμμ κ°μ₯ ν° μκΈμ κ±Έκ³ λ¬λ¦¬κΈ° λνμ μ°Έμ¬νμ§λ§, λνμμ ν¨λ°°νκ³ λμ λ§μμμ κ°μ₯ ν° μκΈμ κ±Έκ³ λ¬λ¦¬κΈ° λνμ μ°Έμ¬νλ μλ
κ³Ό μΉκ΅¬λ€μ λ§μμμ κ°μ₯ ν° μκΈμ κ±Έκ³ λ¬λ¦¬κΈ° λνμ μ°Έμ¬νμ§λ§, λνμμ ν¨λ°°νκ³ λμ λ§μμμ κ°μ₯ ν° μκΈμ κ±Έκ³ λ¬λ¦¬κΈ° λνμ μ°Έμ¬νλ μλ
κ³Ό μΉκ΅¬λ€μ λ§μμμ κ°μ₯ ν° μκΈμ κ±Έκ³ λ¬λ¦¬κΈ° λνμ μ°Έμ¬νμ§λ§, λνμμ ν¨λ°°νκ³ λμ λ§μμμ κ°μ₯ ν° μκΈμ κ±Έκ³ λ¬λ¦¬κΈ° λνμ μ°Έμ¬νλ μλ
κ³Ό μΉκ΅¬λ€μ λ§μμμ κ°μ₯ ν° μκΈμ κ±Έκ³ λ¬λ¦¬κΈ° λνμ μ°Έμ¬νμ§λ§, λνμμ ν¨λ°°νκ³ λμ λ§μμμ κ°μ₯ ν° μκΈμ κ±Έκ³ λ¬λ¦¬κΈ° λνμ μ°Έμ¬νλ μλ
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