ko-gemma-2-9b-it-fn-merged

ko-gemma-2-9b-it-fn-merged is a merge of the following models using mergekit:

Chat template

도ꡬ가 μžˆλŠ” 경우:

<start_of_turn>user
You are a helpful assistant with access to the following functions. Use them if required -
{
    "name": "search_books",
    "description": "Search for books based on title, author, or genre",
    "parameters": {
        "type": "object",
        "properties": {
            "title": {
                "type": "string",
                "description": "The title of the book"
            },
            "author": {
                "type": "string",
                "description": "The author of the book"
            },
            "genre": {
                "type": "string",
                "description": "The genre of the book"
            }
        },
        "required": []
    }
}

To use these functions respond with:
<functioncall> {"name": "function_name", "arguments": {"arg_1": "value_1", "arg_1": "value_1", ...}} </functioncall>

Edge cases you must handle:
 - If there are no functions that match the user request, you will respond politely that you cannot help.

User Question:
책을 μ°Ύκ³  μžˆλŠ”λ° 제λͺ©μ„ κΈ°μ–΅ν•˜μ§€ λͺ»ν•˜λ„€μš”. μ €μžμ˜ 이름은 쑰지 μ˜€μ›°μž…λ‹ˆλ‹€.<end_of_turn>
<start_of_turn>model
<functioncall> {"name": "search_books", "arguments": {"author": "George Orwell"}} </functioncall> <end_of_turn>
<start_of_turn>user
{"books": [{"title": "1984", "author": "George Orwell", "genre": "λ””μŠ€ν† ν”Όμ•„"}, {"title": "동물농μž₯", "author": "George Orwell", "genre": "μ •μΉ˜ ν’μž"}]} <end_of_turn>
<start_of_turn>model
쑰지 μ˜€μ›°μ˜ 책을 두 ꢌ μ°Ύμ•˜μ–΄μš”. 첫 λ²ˆμ§ΈλŠ” "1984"λΌλŠ” λ””μŠ€ν† ν”Όμ•„ μ†Œμ„€μ΄μ—μš”. 두 λ²ˆμ§ΈλŠ” μ •μΉ˜ ν’μžμΈ "동물농μž₯"μž…λ‹ˆλ‹€. <end_of_turn>
<start_of_turn>user
였, λ§žμ•„μš”, "동물농μž₯"을 μ°Ύκ³  μžˆμ—ˆμ–΄μš”. 같은 μž₯λ₯΄μ˜ 책도 찾아쀄 수 μžˆμ„κΉŒμš”?<end_of_turn>
<start_of_turn>model
<functioncall> {"name": "search_books", "arguments": {"genre": "μ •μΉ˜ ν’μž"}} </functioncall> <end_of_turn>
<start_of_turn>user
{"books": [{"title": "Catch-22", "author": "Joseph Heller", "genre": "μ •μΉ˜ ν’μž"}, {"title": "Slaughterhouse-Five", "author": "Kurt Vonnegut", "genre": "μ •μΉ˜ ν’μž"}]} <end_of_turn>
<start_of_turn>model
λ‹Ήμ—°νžˆμš”, μ •μΉ˜ ν’μž μž₯λ₯΄μ— ν•΄λ‹Ήν•˜λŠ” μ±… 두 ꢌ 더 μ•Œλ €λ“œλ¦΄κ²Œμš”. Joseph Heller의 "Catch-22"와 Kurt Vonnegut의 "Slaughterhouse-Five"μž…λ‹ˆλ‹€. <end_of_turn>

도ꡬ가 μ—†λŠ” 경우:

<start_of_turn>user
You are a helpful assistant, with no access to external functions.

User Question:
주어진 숫자 μ‹œν€€μŠ€λŠ” λ‹€μŒκ³Ό κ°™μŠ΅λ‹ˆλ‹€: 2, 4, 6, 8, 10. 각 μˆ«μžλŠ” λ°”λ‹€μ˜ νŒŒλ™κ³Ό λ§ˆμ°¬κ°€μ§€λ‘œ μ‹œκ°„μ˜ μˆœκ°„μ„ λ‚˜νƒ€λƒ…λ‹ˆλ‹€. μ‹œν€€μŠ€λ₯Ό κ³„μ†ν•˜λ©΄ 각 숫자 μ‚¬μ΄μ˜ 차이가 λ™μΌν•˜λ‹€λŠ” 것을 μ•Œ 수 μžˆμŠ΅λ‹ˆλ‹€. 마치 λ°”λžŒκ³Ό ν•΄λ₯˜κ°€ λ°”λ‹€μ˜ νŒŒλ™μ„ ν˜•μ„±ν•˜λŠ” κ²ƒμ²˜λŸΌ, 무언가가 숫자 μ‹œν€€μŠ€λ₯Ό ν˜•μ„±ν•˜κ³  μžˆμŠ΅λ‹ˆλ‹€. μ‹œν€€μŠ€μ—μ„œ λ‹€μŒ μˆ«μžλŠ” 무엇이며, μ‹œκ°„κ³Όμ˜ κ΄€κ³„μ—μ„œ μ–΄λ–€ 의미λ₯Ό κ°€μ§€λŠ”μ§€ μ•Œλ €μ£Όμ„Έμš”.<end_of_turn>
<start_of_turn>model
기술된 νŒ¨ν„΄μ— 따라, μ‹œν€€μŠ€μ—μ„œ λ‹€μŒ μˆ«μžλŠ” 12μž…λ‹ˆλ‹€. μ΄λŠ” 숫자 10으둜 ν‘œν˜„λœ 이전 μ‹œκ°„μ΄ 2개의 μ‹œκ°„ λ‹¨μœ„ λ’€λ₯Ό λ‚˜νƒ€λƒ…λ‹ˆλ‹€. νŒ¨ν„΄μ€ μ‹œν€€μŠ€μ—μ„œ 각 후속 μˆ«μžκ°€ 이전 숫자 λ‹€μŒμ— 2개의 μ‹œκ°„ λ‹¨μœ„μΈ 것을 μ‹œμ‚¬ν•©λ‹ˆλ‹€. λ”°λΌμ„œ 12 λ‹€μŒ μˆ«μžλŠ” 14이며, κ·Έ λ‹€μŒμ€ 16이 λ©λ‹ˆλ‹€. μ΄λŸ¬ν•œ νŒ¨ν„΄μ€ μΌμ •ν•œ 차이가 μžˆλŠ” λ“±μ°¨ μˆ˜μ—΄λ‘œ μ•Œλ €μ Έ μžˆμŠ΅λ‹ˆλ‹€. <end_of_turn>
<start_of_turn>user
νŒ¨ν„΄μ— κ΄€ν•΄ μ΄μ•ΌκΈ°ν•˜μžλ©΄, ν”Όλ³΄λ‚˜μΉ˜ μˆ˜μ—΄μ— λŒ€ν•΄ κΆκΈˆν•©λ‹ˆλ‹€. 이것은 무엇이고 μ–΄λ–»κ²Œ μž‘λ™ν•˜λ‚˜μš”?<end_of_turn>
<start_of_turn>model
ν”Όλ³΄λ‚˜μΉ˜ μˆ˜μ—΄μ€ 각 μˆ«μžκ°€ 이전 두 숫자의 ν•©μœΌλ‘œ 이루어진 μˆ˜μ—΄μž…λ‹ˆλ‹€. μ‹œμž‘μ€ 0κ³Ό 1λ‘œλΆ€ν„° μ‹œμž‘ν•˜μ—¬ 이전 두 숫자λ₯Ό 더해 λ‹€μŒ 숫자λ₯Ό μ–»λŠ” λ°©μ‹μœΌλ‘œ κ³„μ†λ©λ‹ˆλ‹€. λ”°λΌμ„œ μˆ˜μ—΄μ€ 0, 1, 1, 2, 3, 5, 8, 13, 21 λ“±μœΌλ‘œ μ΄μ–΄μ§‘λ‹ˆλ‹€. 이전 두 숫자λ₯Ό λ”ν•˜λ©΄μ„œ λ‹€μŒ 숫자λ₯Ό κ΅¬ν•˜λŠ” νŒ¨ν„΄μ€ λ¬΄ν•œνžˆ μ΄μ–΄μ§€κ²Œ λ©λ‹ˆλ‹€. ν”Όλ³΄λ‚˜μΉ˜ μˆ˜μ—΄μ€ μ΄νƒˆλ¦¬μ•„ μˆ˜ν•™μžμΈ λ ˆμ˜€λ‚˜λ₯΄λ„ ν”Όλ³΄λ‚˜μΉ˜κ°€ μ„œμ–‘μ— μ†Œκ°œν•œ κ²ƒμ—μ„œ 이름을 λ”°μ™”μŠ΅λ‹ˆλ‹€. ν”Όλ³΄λ‚˜μΉ˜ μˆ˜μ—΄μ€ λ‚˜λ¬΄μ˜ 가지 치기, 쀄기에 잎이 λ°°μ—΄λ˜λŠ” ν˜•νƒœ, λ‹¬νŒ½μ΄ 껍질의 λͺ¨μ–‘κ³Ό 같이 μžμ—°μ—μ„œ 많이 λ‚˜νƒ€λ‚©λ‹ˆλ‹€. <end_of_turn>

🧩 Configuration

models:
  - model: rtzr/ko-gemma-2-9b-it
  - model: NeuroWhAI/ko-gemma-2-9b-it-fn
    parameters:
      density: 0.3
      weight: 0.2
merge_method: dare_ties
base_model: rtzr/ko-gemma-2-9b-it
parameters:
  int8_mask: true
dtype: bfloat16
Downloads last month
10
Safetensors
Model size
9.24B params
Tensor type
BF16
Β·
Inference Providers NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API: The model has no library tag.

Model tree for NeuroWhAI/ko-gemma-2-9b-it-fn-merged

Merge model
this model
Quantizations
1 model

Collection including NeuroWhAI/ko-gemma-2-9b-it-fn-merged