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Model: igarin/Qwen2.5-Coder-7B-20260302-GGUF Source: Original Platform
2026-09-02 03:58:17 +08:00
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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
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+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+qwen2.5-coder-7b-instruct.F16.gguf filter=lfs diff=lfs merge=lfs -text
+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.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
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--- a/54
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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."""
--- a/README.md
+++ b/README.md
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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-20260302
+---
+
+ # 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-20260302-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-20260302-GGUF --jinja`
+- For multimodal models: `./llama.cpp/llama-mtmd-cli -hf igarin/Qwen2.5-Coder-7B-20260302-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.Q3_K_M.gguf`
+- `qwen2.5-coder-7b-instruct.Q4_1.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)
--- a/config.json
+++ b/config.json
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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_scaling": null,
+    "rope_theta": 1000000.0,
+    "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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