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Model: TeichAI/Qwen3-14B-Claude-4.5-Opus-High-Reasoning-Distill-GGUF
Source: Original Platform

.gitattributes

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+ 
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Modelfile

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+
+FROM qwen3-14b.Q4_K_M.gguf
+TEMPLATE """{{- 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> XML tags:
+<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> XML tags:
+<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 }}"""
+PARAMETER stop "<|im_end|>"
+PARAMETER stop "<|im_start|>"
+PARAMETER temperature 0.6
+PARAMETER min_p 0.0
+PARAMETER top_k 20
+PARAMETER top_p 0.95
+PARAMETER repeat_penalty 1

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Qwen3-14B-Claude-4.5-Opus-Distill.q8_0.gguf

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README.md

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+---
+base_model: TeichAI/Qwen3-14B-Claude-4.5-Opus-High-Reasoning-Distill
+tags:
+- text-generation-inference
+- transformers
+- unsloth
+- qwen3
+license: apache-2.0
+datasets:
+- TeichAI/claude-4.5-opus-high-reasoning-250x
+---
+
+# Qwen3 14B Thinking 2507 x Claude 4.5 Opus (High Reasoning) Distill
+
+This model was trained on a **Claude Opus 4.5 (reasoning)** dataset with a high reasoning effort.
+
+- 🤖 Related Models:
+| Model      | Effective parameters      | Active parameters     |
+| ------------- | ------------- | ------------- |
+| [`Nemotron-Orchestrator-8B-Claude-4.5-Opus-Distill-GGUF`](https://huggingface.co/TeichAI/Nemotron-Orchestrator-8B-Claude-4.5-Opus-Distill-GGUF) | 8 B | 8 B |
+| [`Qwen3-8B-Claude-4.5-Opus-High-Reasoning-Distill-GGUF`](https://huggingface.co/TeichAI/Qwen3-8B-Claude-4.5-Opus-High-Reasoning-Distill-GGUF) | 8 B | 8 B |
+| [`Qwen3-4B-Thinking-2507-Claude-4.5-Opus-High-Reasoning-Distill-GGUF`](https://huggingface.co/TeichAI/Qwen3-4B-Thinking-2507-Claude-4.5-Opus-High-Reasoning-Distill-GGUF) | 4 B | 4 B |
+
+- 🧬 Datasets:
+  - `TeichAI/claude-4.5-opus-high-reasoning-250x`
+
+- 🏗 Base Model:
+  - `unsloth/Qwen3-14B`
+ 
+- ⚡ Use cases:
+  - Coding
+  - Science
+  - General Purpose
+
+- ∑ Stats (Dataset)
+  - Costs: $ 52.3 (USD)
+  - Total tokens (input + output): 2.13 M

config.json

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+{
+    "architectures": [
+        "Qwen3ForCausalLM"
+    ],
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "torch_dtype": "bfloat16",
+    "eos_token_id": 151645,
+    "head_dim": 128,
+    "hidden_act": "silu",
+    "hidden_size": 5120,
+    "initializer_range": 0.02,
+    "intermediate_size": 17408,
+    "layer_types": [
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
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+        "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",
+        "full_attention"
+    ],
+    "max_length": 8192,
+    "max_position_embeddings": 40960,
+    "max_window_layers": 40,
+    "model_type": "qwen3",
+    "num_attention_heads": 40,
+    "num_hidden_layers": 40,
+    "num_key_value_heads": 8,
+    "pad_token_id": 151654,
+    "rms_norm_eps": 1e-06,
+    "rope_scaling": null,
+    "rope_theta": 1000000,
+    "sliding_window": null,
+    "tie_word_embeddings": false,
+    "transformers_version": "4.56.2",
+    "unsloth_fixed": true,
+    "unsloth_version": "2025.11.3",
+    "use_cache": true,
+    "use_sliding_window": false,
+    "vocab_size": 151936
+}

configuration.json

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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

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