LLM:
{
"domain": "llm",
"contextLength": 131072,
"indexedModelIdentifier": "mradermacher/Llama-3.2-8B-Instruct-GGUF/Llama-3.2-8B-Instruct.Q4_K_S.gguf",
"displayName": "Llama 3.2 8B Instruct",
"containingDirSubpath": "mradermacher/Llama-3.2-8B-Instruct-GGUF",
"containingDirMtime": 1768547496511,
"containingDirAbsolutePath": "/home/cilab/.lmstudio/models/mradermacher/Llama-3.2-8B-Instruct-GGUF",
"sourceDirectoryType": "user",
"format": "gguf",
"metadata": {
"gguf": {
"arch": "llama",
"name": "Llama 3.1 8B Instruct",
"chatTemplate": "{{- bos_token }}\n{%- if custom_tools is defined %}\n {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n {%- set tools_in_user_message = true %}\n{%- endif %}\n{%- if not date_string is defined %}\n {%- set date_string = "26 Jul 2024" %}\n{%- endif %}\n{%- if not tools is defined %}\n {%- set tools = none %}\n{%- endif %}\n\n{#- This block extracts the system message, so we can slot it into the right place. #}\n{%- if messages[0]['role'] == 'system' %}\n {%- set system_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n{%- else %}\n {%- set system_message = "" %}\n{%- endif %}\n\n{#- System message + builtin tools #}\n{{- "<|start_header_id|>system<|end_header_id|>\n\n" }}\n{%- if builtin_tools is defined or tools is not none %}\n {{- "Environment: ipython\n" }}\n{%- endif %}\n{%- if builtin_tools is defined %}\n {{- "Tools: " + builtin_tools | reject('equalto', 'code_interpreter') | join(", ") + "\n\n"}}\n{%- endif %}\n{{- "Cutting Knowledge Date: December 2023\n" }}\n{{- "Today Date: " + date_string + "\n\n" }}\n{%- if tools is not none and not tools_in_user_message %}\n {{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }}\n {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}\n {{- "Do not use variables.\n\n" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- "\n\n" }}\n {%- endfor %}\n{%- endif %}\n{{- system_message }}\n{{- "<|eot_id|>" }}\n\n{#- Custom tools are passed in a user message with some extra guidance #}\n{%- if tools_in_user_message and not tools is none %}\n {#- Extract the first user message so we can plug it in here #}\n {%- if messages | length != 0 %}\n {%- set first_user_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n {%- else %}\n {{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }}\n{%- endif %}\n {{- '<|start_header_id|>user<|end_header_id|>\n\n' -}}\n {{- "Given the following functions, please respond with a JSON for a function call " }}\n {{- "with its proper arguments that best answers the given prompt.\n\n" }}\n {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}\n {{- "Do not use variables.\n\n" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- "\n\n" }}\n {%- endfor %}\n {{- first_user_message + "<|eot_id|>"}}\n{%- endif %}\n\n{%- for message in messages %}\n {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}\n {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }}\n {%- elif 'tool_calls' in message %}\n {%- if not message.tool_calls|length == 1 %}\n {{- raise_exception("This model only supports single tool-calls at once!") }}\n {%- endif %}\n {%- set tool_call = message.tool_calls[0].function %}\n {%- if builtin_tools is defined and tool_call.name in builtin_tools %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}\n {{- "<|python_tag|>" + tool_call.name + ".call(" }}\n {%- for arg_name, arg_val in tool_call.arguments | items %}\n {{- arg_name + '="' + arg_val + '"' }}\n {%- if not loop.last %}\n {{- ", " }}\n {%- endif %}\n {%- endfor %}\n {{- ")" }}\n {%- else %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}\n {{- '{"name": "' + tool_call.name + '", ' }}\n {{- '"parameters": ' }}\n {{- tool_call.arguments | tojson }}\n {{- "}" }}\n {%- endif %}\n {%- if builtin_tools is defined %}\n {#- This means we're in ipython mode #}\n {{- "<|eom_id|>" }}\n {%- else %}\n {{- "<|eot_id|>" }}\n {%- endif %}\n {%- elif message.role == "tool" or message.role == "ipython" %}\n {{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }}\n {%- if message.content is mapping or message.content is iterable %}\n {{- message.content | tojson }}\n {%- else %}\n {{- message.content }}\n {%- endif %}\n {{- "<|eot_id|>" }}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}\n{%- endif %}\n",
"embeddingLength": 4096,
"numAttentionHeads": 32,
"numKeyValueHeads": 8,
"parameters": "8B",
"bosToken": "<|begin_of_text|>",
"eosToken": "<|eot_id|>",
"contextLength": 131072,
"numLayers": 32,
"version": 2
}
},
"allFiles": [
{
"filename": "Llama-3.2-8B-Instruct.Q4_K_S.gguf",
"ext": "gguf",
"absPath": "/home/cilab/.lmstudio/models/mradermacher/Llama-3.2-8B-Instruct-GGUF/Llama-3.2-8B-Instruct.Q4_K_S.gguf",
"relPath": "mradermacher/Llama-3.2-8B-Instruct-GGUF/Llama-3.2-8B-Instruct.Q4_K_S.gguf",
"sizeBytes": 4692673952
}
],
"concreteModelDirAbsolutePath": "/home/cilab/.lmstudio/models/mradermacher/Llama-3.2-8B-Instruct-GGUF",
"entryPoint": {
"filename": "Llama-3.2-8B-Instruct.Q4_K_S.gguf",
"ext": "gguf",
"absPath": "/home/cilab/.lmstudio/models/mradermacher/Llama-3.2-8B-Instruct-GGUF/Llama-3.2-8B-Instruct.Q4_K_S.gguf",
"relPath": "mradermacher/Llama-3.2-8B-Instruct-GGUF/Llama-3.2-8B-Instruct.Q4_K_S.gguf",
"sizeBytes": 4692673952
},
"trainedForToolUse": true,
"quant": {
"bits": 4,
"name": "Q4_K_S"
},
"arch": "llama",
"params": "8B",
"isCucumber": false,
"sizeBytes": 4692673952,
"selfFiles": [
{
"filename": "Llama-3.2-8B-Instruct.Q4_K_S.gguf",
"ext": "gguf",
"absPath": "/home/cilab/.lmstudio/models/mradermacher/Llama-3.2-8B-Instruct-GGUF/Llama-3.2-8B-Instruct.Q4_K_S.gguf",
"relPath": "mradermacher/Llama-3.2-8B-Instruct-GGUF/Llama-3.2-8B-Instruct.Q4_K_S.gguf",
"sizeBytes": 4692673952
}
],
"altIndexedModelIdentifier": "mradermacher/Llama-3.2-8B-Instruct-GGUF",
"user": "mradermacher",
"model": "Llama-3.2-8B-Instruct-GGUF",
"file": "Llama-3.2-8B-Instruct.Q4_K_S.gguf",
"defaultIdentifier": "llama-3.2-8b-instruct",
"autoIdentifiers": [
"llama-3.2-8b-instruct",
"mradermacher/llama-3.2-8b-instruct",
"llama-3.2-8b-instruct@q4_k_s",
"mradermacher/llama-3.2-8b-instruct@q4_k_s",
"mradermacher/llama-3.2-8b-instruct-gguf/llama-3.2-8b-instruct.q4_k_s.gguf",
"mradermacher/llama-3.2-8b-instruct-gguf"
],
"baselessAutoIdentifiers": [
"q4_k_s",
"gguf-q4_k_s"
]
}
