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Model: atsintli/model_sonbee_8bits Source: Original Platform
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unsloth.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
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qwen2.5-coder-1.5b-instruct.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
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qwen2.5-coder-1.5b-instruct.F16.gguf filter=lfs diff=lfs merge=lfs -text
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FROM qwen2.5-coder-1.5b-instruct.F16.gguf
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TEMPLATE """{{- if .Suffix }}<|fim_prefix|>{{ .Prompt }}<|fim_suffix|>{{ .Suffix }}<|fim_middle|>
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{{- else if .Messages }}
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{{- if or .System .Tools }}<|im_start|>system
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{{ .System }}
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{{- end }}
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{{- if .Tools }}
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# Tools
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You may call one or more functions to assist with the user query.
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You are provided with function signatures within <tools></tools>:
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<tools>
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For each function call, return a json object with function name and arguments within <tool_call></tool_call> with NO other text. Do not include any backticks or ```json.
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<tool_call>
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{"name": <function-name>, "arguments": <args-json-object>}
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{{ end }}{{ if .Prompt }}<|im_start|>user
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{{ end }}<|im_start|>assistant
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{{ end }}{{ .Response }}{{ if .Response }}<|im_end|>{{ end }}"""
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SYSTEM """You are Qwen, created by Alibaba Cloud. You are a helpful assistant."""
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README.md
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---
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tags:
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- gguf
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- llama.cpp
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- unsloth
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---
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# model_sonbee_8bits : GGUF
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This model was finetuned and converted to GGUF format using [Unsloth](https://github.com/unslothai/unsloth).
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**Example usage**:
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- For text only LLMs: `llama-cli -hf atsintli/model_sonbee_8bits --jinja`
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- For multimodal models: `llama-mtmd-cli -hf atsintli/model_sonbee_8bits --jinja`
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## Available Model files:
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- `qwen2.5-coder-1.5b-instruct.F16.gguf`
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## Ollama
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An Ollama Modelfile is included for easy deployment.
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This was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth)
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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config.json
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{
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"architectures": [
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"Qwen2ForCausalLM"
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"hidden_act": "silu",
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"hidden_size": 1536,
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"initializer_range": 0.02,
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"intermediate_size": 8960,
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"layer_types": [
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention"
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],
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"model_type": "qwen2",
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"rope_type": "default"
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"tie_word_embeddings": true,
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"unsloth_fixed": true,
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"unsloth_version": "2026.8.1",
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"use_cache": false,
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"use_sliding_window": false,
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"vocab_size": 151936
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}
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3
qwen2.5-coder-1.5b-instruct.F16.gguf
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qwen2.5-coder-1.5b-instruct.F16.gguf
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version https://git-lfs.github.com/spec/v1
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size 3093668960
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3
qwen2.5-coder-1.5b-instruct.Q8_0.gguf
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qwen2.5-coder-1.5b-instruct.Q8_0.gguf
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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size 8098524960
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