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Model: sarrington/qwen2.5-0.5b-spliced Source: Original Platform
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*.7z filter=lfs diff=lfs merge=lfs -text
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*.arrow filter=lfs diff=lfs merge=lfs -text
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gemma_spliced_fresh_iq4xs.gguf filter=lfs diff=lfs merge=lfs -text
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gemma_spliced_fresh_q4km.gguf filter=lfs diff=lfs merge=lfs -text
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README.md
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README.md
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---
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language:
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- en
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license: apache-2.0
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tags:
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- qwen
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- qwen2.5
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- text-generation
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- gguf
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- local-ai
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- apple-silicon
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---
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# Qwen 2.5 0.5B Spliced GGUF
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A highly optimized, 15-layer spliced variant of the **Qwen 2.5 0.5B** architecture.
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## Model Description
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This repository contains the spliced mixed-precision weights of Qwen 2.5 0.5B, surgically pruned from 16 layers to 15 layers. It features standard configs and tokenizer support for seamless local execution on mobile and edge platforms.
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* **Format**: Safetensors / GGUF (`Q4_K_M`, `IQ4_XS`)
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* **Size**: 284 MB (GGUF) / 257 MB (IQ4_XS)
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* **Target Platforms**: Apple Silicon MacBooks (M1/M2/M3/M4) and standard CPU/GPU local runtimes.
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## Local Quickstart
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Run the model natively via standard `llama-cli`:
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```bash
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llama-cli -ngl 100 -m ./gemma_spliced_fresh_q4km.gguf -p "The mathematical beauty of wavelets lies in" -n 128
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```
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chat_template.jinja
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chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0]['role'] == 'system' %}
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{{- messages[0]['content'] }}
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{%- else %}
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{{- 'You are a helpful assistant.' }}
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{%- endif %}
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{{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
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{%- else %}
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{%- if messages[0]['role'] == 'system' %}
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{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
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{%- else %}
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{{- '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- for message in messages %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
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{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{{- '<|im_start|>' + message.role }}
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{%- if message.content %}
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{{- '\n' + message.content }}
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{%- endif %}
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{%- for tool_call in message.tool_calls %}
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{%- if tool_call.function is defined %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{{- '\n<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{{- tool_call.arguments | tojson }}
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{{- '}\n</tool_call>' }}
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{%- endfor %}
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{{- '<|im_end|>\n' }}
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{%- elif message.role == "tool" %}
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{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
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{{- '<|im_start|>user' }}
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{%- endif %}
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{{- '\n<tool_response>\n' }}
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{{- message.content }}
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{{- '\n</tool_response>' }}
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{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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{{- '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- endfor %}
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{%- if add_generation_prompt %}
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{{- '<|im_start|>assistant\n' }}
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{%- endif %}
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49
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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"dtype": "bfloat16",
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"eos_token_id": 151643,
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"hidden_act": "silu",
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"hidden_size": 896,
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"initializer_range": 0.02,
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"intermediate_size": 4864,
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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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],
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"max_position_embeddings": 32768,
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"max_window_layers": 15,
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"model_type": "qwen2",
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"num_attention_heads": 14,
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"num_hidden_layers": 15,
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"num_key_value_heads": 2,
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"rms_norm_eps": 1e-06,
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"rope_parameters": {
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}
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3
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3
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Normal file
29
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Normal file
@@ -0,0 +1,29 @@
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}
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Reference in New Issue
Block a user