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Model: igarin/Qwen2.5-Coder-7B-20260219-GGUF Source: Original Platform
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qwen2.5-coder-7b-instruct.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
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Modelfile
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FROM qwen2.5-coder-7b-instruct.Q4_K_M.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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{{- if .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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{{- range .Tools }}
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{"type": "function", "function": {{ .Function }}}
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{{- end }}
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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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</tool_call>
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{{- end }}<|im_end|>
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{{ end }}
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{{- range $i, $_ := .Messages }}
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{{- $last := eq (len (slice $.Messages $i)) 1 -}}
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{{- if eq .Role "user" }}<|im_start|>user
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{{ .Content }}<|im_end|>
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{{ else if eq .Role "assistant" }}<|im_start|>assistant
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{{ if .Content }}{{ .Content }}
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{{- else if .ToolCalls }}<tool_call>
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{{ range .ToolCalls }}{"name": "{{ .Function.Name }}", "arguments": {{ .Function.Arguments }}}
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{{ end }}</tool_call>
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{{- end }}{{ if not $last }}<|im_end|>
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{{ end }}
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{{- else if eq .Role "tool" }}<|im_start|>user
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<tool_response>
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{{ .Content }}
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</tool_response><|im_end|>
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{{ end }}
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{{- if and (ne .Role "assistant") $last }}<|im_start|>assistant
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{{ end }}
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{{- end }}
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{{- else }}
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{{- if .System }}<|im_start|>system
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{{ .System }}<|im_end|>
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{{ end }}{{ if .Prompt }}<|im_start|>user
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{{ .Prompt }}<|im_end|>
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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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README.md
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---
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base_model: unsloth/Qwen2.5-Coder-7B-Instruct-bnb-4bit
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tags:
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- text-generation-inference
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- transformers
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- unsloth
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- qwen2
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- swift
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- python
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- code
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- gguf
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license: cc-by-nc-4.0
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language:
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- en
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- ja
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datasets:
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- igarin/swift-python-textbook-20260219
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---
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# Uploaded finetuned model
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- **Developed by:** igarin
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- **License:** cc-by-nc-4.0
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- **Finetuned from model :** unsloth/Qwen2.5-Coder-7B-Instruct-bnb-4bit
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# Qwen2.5-Coder-7B-20260219-GGUF : 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.cpp/llama-cli -hf igarin/Qwen2.5-Coder-7B-20260219-GGUF --jinja`
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- For multimodal models: `./llama.cpp/llama-mtmd-cli -hf igarin/Qwen2.5-Coder-7B-20260219-GGUF --jinja`
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## Available Model files:
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- `qwen2.5-coder-7b-instruct.F16.gguf`
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- `qwen2.5-coder-7b-instruct.Q2_K.gguf`
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- `qwen2.5-coder-7b-instruct.Q4_K_M.gguf`
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- `qwen2.5-coder-7b-instruct.Q5_K_M.gguf`
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- `qwen2.5-coder-7b-instruct.Q6_K.gguf`
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- `qwen2.5-coder-7b-instruct.Q8_0.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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config.json
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{
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"architectures": [
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"Qwen2ForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 151643,
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"torch_dtype": "float16",
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"eos_token_id": 151645,
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"hidden_act": "silu",
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"hidden_size": 3584,
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"initializer_range": 0.02,
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"intermediate_size": 18944,
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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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"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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"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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"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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"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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"max_position_embeddings": 32768,
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"max_window_layers": 28,
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"model_type": "qwen2",
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"num_attention_heads": 28,
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"num_hidden_layers": 28,
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"num_key_value_heads": 4,
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"pad_token_id": 151665,
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"rms_norm_eps": 1e-06,
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"rope_parameters": {
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"rope_theta": 1000000.0,
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"rope_type": "default"
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},
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"sliding_window": null,
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"tie_word_embeddings": false,
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"unsloth_fixed": true,
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"unsloth_version": "2026.2.1",
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"use_cache": true,
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"use_sliding_window": false,
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"vocab_size": 152064
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}
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qwen2.5-coder-7b-instruct.F16.gguf
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qwen2.5-coder-7b-instruct.F16.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:b92397f6745b758377fce46cfc9455754ce5c885f4856ecd0e0d479a96b95f66
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size 15237853152
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qwen2.5-coder-7b-instruct.Q2_K.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:084bdb94b63b29bb6b37a26fa0de77421a878438ab382914004c60d8cf976c30
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size 3015940064
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qwen2.5-coder-7b-instruct.Q4_K_M.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:a46108d77f7212bfcbb271a741158a95bee753962e438f0d46087d996cce335f
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size 4683073504
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qwen2.5-coder-7b-instruct.Q5_K_M.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:72433850eab24bf89770464182d04b2bc50ec1f70ceda1d0225e704844ed97d0
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size 5444831200
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qwen2.5-coder-7b-instruct.Q6_K.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:b1fb9226e1b91f12ae6ddcbab946106a469de67916a930dff58de74e3e6c0514
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size 6254198752
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qwen2.5-coder-7b-instruct.Q8_0.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:a133963888b0a7b0aa0d47ec468a9db4623b55e866f8ac39cadfa443e60d0f89
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size 8098525152
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