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https://github.com/Palm1r/QodeAssist.git
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32 lines
1.3 KiB
TOML
32 lines
1.3 KiB
TOML
schema_version = 1
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extends = "Ollama Base Chat"
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name = "Ollama Completion — Chat-style"
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description = "Code completion via a chat request — the cursor sits in a <code_context> message on /api/chat, so the model just continues the code. Works with ANY normal chat/instruct model (qwen2.5-coder, qwen3, llama3, gemma, mistral, codellama-instruct, …), so use this when your model is NOT a dedicated FIM model. Tradeoff vs native 'Ollama Completion — FIM': a bit slower and may leak code fences or explanations, so slightly less precise."
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model = "qwen2.5-coder:7b"
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tags = ["completion", "ollama", "local", "fim", "8gb"]
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system_prompt = """
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{%- if language == "qml" %}{{ read_file(":/roles/code-completion-qml.md") }}
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{%- else if language == "c-like" %}{{ read_file(":/roles/code-completion-c-like.md") }}
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{%- else %}{{ read_file(":/roles/code-completion.md") }}
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{%- endif %}
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{{ read_file(":/tasks/code-completion.md") }}"""
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[body]
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messages = """
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[
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{% if existsIn(ctx, "system_prompt") %}
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{ "role": "system", "content": {{ tojson(ctx.system_prompt) }} },
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{% endif %}
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{ "role": "user", "content": {{ tojson("Here is the code context with insertion points:\\n<code_context>\\n" + ctx.prefix + "<cursor>" + ctx.suffix + "\\n</code_context>") }} }
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]
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"""
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[body.options]
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num_predict = 256
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temperature = 0.2
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keep_alive = "5m"
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stop = ["</code_context>"]
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