Edit model card

ELYZA-japanese-Llama-2-13b-fast-instruct-GGUF

Original Model

elyza/ELYZA-japanese-Llama-2-13b-fast-instruct

Run with LlamaEdge

  • LlamaEdge version: v0.2.8 and above

  • Prompt template

    • Prompt type: llama-2-chat

    • Prompt string

      <s>[INST] <<SYS>>
      {{ system_prompt }}
      <</SYS>>
      
      {{ user_msg_1 }} [/INST] {{ model_answer_1 }} </s><s>[INST] {{ user_msg_2 }}
      
  • Context size: 5120

  • Run as LlamaEdge service

    wasmedge --dir .:. --nn-preload default:GGML:AUTO:ELYZA-japanese-Llama-2-13b-fast-instruct-Q5_K_M.gguf llama-api-server.wasm -p llama-2-chat
    
  • Run as LlamaEdge command app

    wasmedge --dir .:. --nn-preload default:GGML:AUTO:ELYZA-japanese-Llama-2-13b-fast-instruct-Q5_K_M.gguf llama-chat.wasm -p llama-2-chat
    

Quantized GGUF Models

Name Quant method Bits Size Use case
ELYZA-japanese-Llama-2-13b-fast-instruct-Q2_K.gguf Q2_K 2 5.5 GB smallest, significant quality loss - not recommended for most purposes
ELYZA-japanese-Llama-2-13b-fast-instruct-Q3_K_L.gguf Q3_K_L 3 7.01 GB small, substantial quality loss
ELYZA-japanese-Llama-2-13b-fast-instruct-Q3_K_M.gguf Q3_K_M 3 6.42 GB very small, high quality loss
ELYZA-japanese-Llama-2-13b-fast-instruct-Q3_K_S.gguf Q3_K_S 3 5.74 GB very small, high quality loss
ELYZA-japanese-Llama-2-13b-fast-instruct-Q4_0.gguf Q4_0 4 7.46 GB legacy; small, very high quality loss - prefer using Q3_K_M
ELYZA-japanese-Llama-2-13b-fast-instruct-Q4_K_M.gguf Q4_K_M 4 7.96 GB medium, balanced quality - recommended
ELYZA-japanese-Llama-2-13b-fast-instruct-Q4_K_S.gguf Q4_K_S 4 7.5 GB small, greater quality loss
ELYZA-japanese-Llama-2-13b-fast-instruct-Q5_0.gguf Q5_0 5 9.07 GB legacy; medium, balanced quality - prefer using Q4_K_M
ELYZA-japanese-Llama-2-13b-fast-instruct-Q5_K_M.gguf Q5_K_M 5 9.33 GB large, very low quality loss - recommended
ELYZA-japanese-Llama-2-13b-fast-instruct-Q5_K_S.gguf Q5_K_S 5 9.07 GB large, low quality loss - recommended
ELYZA-japanese-Llama-2-13b-fast-instruct-Q6_K.gguf Q6_K 6 10.8 GB very large, extremely low quality loss
ELYZA-japanese-Llama-2-13b-fast-instruct-Q8_0.gguf Q8_0 8 14 GB very large, extremely low quality loss - not recommended
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GGUF
Model size
13.1B params
Architecture
llama

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Inference Examples
Inference API (serverless) has been turned off for this model.

Model tree for second-state/ELYZA-japanese-Llama-2-13b-fast-instruct-GGUF

Quantized
(2)
this model