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Model: igarin/Qwen2.5-Coder-7B-20260219-GGUF
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2026-06-18 09:53:19 +08:00
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qwen2.5-coder-7b-instruct.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
qwen2.5-coder-7b-instruct.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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qwen2.5-coder-7b-instruct.F16.gguf filter=lfs diff=lfs merge=lfs -text
qwen2.5-coder-7b-instruct.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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FROM qwen2.5-coder-7b-instruct.Q4_K_M.gguf
TEMPLATE """{{- if .Suffix }}<|fim_prefix|>{{ .Prompt }}<|fim_suffix|>{{ .Suffix }}<|fim_middle|>
{{- else if .Messages }}
{{- if or .System .Tools }}<|im_start|>system
{{- if .System }}
{{ .System }}
{{- end }}
{{- if .Tools }}
# Tools
You may call one or more functions to assist with the user query.
You are provided with function signatures within <tools></tools>:
<tools>
{{- range .Tools }}
{"type": "function", "function": {{ .Function }}}
{{- end }}
</tools>
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.
<tool_call>
{"name": <function-name>, "arguments": <args-json-object>}
</tool_call>
{{- end }}<|im_end|>
{{ end }}
{{- range $i, $_ := .Messages }}
{{- $last := eq (len (slice $.Messages $i)) 1 -}}
{{- if eq .Role "user" }}<|im_start|>user
{{ .Content }}<|im_end|>
{{ else if eq .Role "assistant" }}<|im_start|>assistant
{{ if .Content }}{{ .Content }}
{{- else if .ToolCalls }}<tool_call>
{{ range .ToolCalls }}{"name": "{{ .Function.Name }}", "arguments": {{ .Function.Arguments }}}
{{ end }}</tool_call>
{{- end }}{{ if not $last }}<|im_end|>
{{ end }}
{{- else if eq .Role "tool" }}<|im_start|>user
<tool_response>
{{ .Content }}
</tool_response><|im_end|>
{{ end }}
{{- if and (ne .Role "assistant") $last }}<|im_start|>assistant
{{ end }}
{{- end }}
{{- else }}
{{- if .System }}<|im_start|>system
{{ .System }}<|im_end|>
{{ end }}{{ if .Prompt }}<|im_start|>user
{{ .Prompt }}<|im_end|>
{{ end }}<|im_start|>assistant
{{ end }}{{ .Response }}{{ if .Response }}<|im_end|>{{ end }}"""
SYSTEM """You are Qwen, created by Alibaba Cloud. You are a helpful assistant."""

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---
base_model: unsloth/Qwen2.5-Coder-7B-Instruct-bnb-4bit
tags:
- text-generation-inference
- transformers
- unsloth
- qwen2
- swift
- python
- code
- gguf
license: cc-by-nc-4.0
language:
- en
- ja
datasets:
- igarin/swift-python-textbook-20260219
---
# Uploaded finetuned model
- **Developed by:** igarin
- **License:** cc-by-nc-4.0
- **Finetuned from model :** unsloth/Qwen2.5-Coder-7B-Instruct-bnb-4bit
# Qwen2.5-Coder-7B-20260219-GGUF : GGUF
This model was finetuned and converted to GGUF format using [Unsloth](https://github.com/unslothai/unsloth).
**Example usage**:
- For text only LLMs: `./llama.cpp/llama-cli -hf igarin/Qwen2.5-Coder-7B-20260219-GGUF --jinja`
- For multimodal models: `./llama.cpp/llama-mtmd-cli -hf igarin/Qwen2.5-Coder-7B-20260219-GGUF --jinja`
## Available Model files:
- `qwen2.5-coder-7b-instruct.F16.gguf`
- `qwen2.5-coder-7b-instruct.Q2_K.gguf`
- `qwen2.5-coder-7b-instruct.Q4_K_M.gguf`
- `qwen2.5-coder-7b-instruct.Q5_K_M.gguf`
- `qwen2.5-coder-7b-instruct.Q6_K.gguf`
- `qwen2.5-coder-7b-instruct.Q8_0.gguf`
## Ollama
An Ollama Modelfile is included for easy deployment.
This was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth)
[<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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{
"architectures": [
"Qwen2ForCausalLM"
],
"attention_dropout": 0.0,
"bos_token_id": 151643,
"torch_dtype": "float16",
"eos_token_id": 151645,
"hidden_act": "silu",
"hidden_size": 3584,
"initializer_range": 0.02,
"intermediate_size": 18944,
"layer_types": [
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention"
],
"max_position_embeddings": 32768,
"max_window_layers": 28,
"model_type": "qwen2",
"num_attention_heads": 28,
"num_hidden_layers": 28,
"num_key_value_heads": 4,
"pad_token_id": 151665,
"rms_norm_eps": 1e-06,
"rope_parameters": {
"rope_theta": 1000000.0,
"rope_type": "default"
},
"sliding_window": null,
"tie_word_embeddings": false,
"unsloth_fixed": true,
"unsloth_version": "2026.2.1",
"use_cache": true,
"use_sliding_window": false,
"vocab_size": 152064
}

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