初始化项目，由ModelHub XC社区提供模型
Model: Abhinav-Anand/Two-And-A-Half-Qwen Source: Original Platform
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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65
README.md
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65
README.md
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---
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license: apache-2.0
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base_model:
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- Qwen/Qwen2.5-0.5B
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base_model_relation: quantized
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tags:
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- quantization
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- float16
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- half-precision
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- pytorch
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- edge-deployment
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- qwen2
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language:
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- en
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pipeline_tag: text-generation
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---
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# Two_and_a_half_Qwen2.5-MiniFP16
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## Overview
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This is a **float16 (half precision) quantized** version of [Qwen/Qwen2.5-0.5B](https://huggingface.co/Qwen/Qwen2.5-0.5B).
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All model weights are converted from float32 to float16, reducing model size by ~50% while
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maintaining near-identical text generation quality.
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## Key Features
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- **Half the size**: 942.4 MB (down from 1884.7 MB)
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- **No GPU required**: Runs on CPU and Apple Silicon Macs
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- **Near-lossless**: Float16 preserves most of the original precision
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- **Zero training**: Pure post-training quantization
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- **HuggingFace native**: Standard safetensors format, load with AutoModelForCausalLM
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## Quantization Details
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- **Method**: PyTorch `.half()` conversion (float32 -> float16)
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- **Target**: All model parameters (weights, biases, embeddings)
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- **Original dtype**: torch.float32 (32-bit, 4 bytes per weight)
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- **Quantized dtype**: torch.float16 (16-bit, 2 bytes per weight)
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- **Compression ratio**: ~2x
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## Usage
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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import torch
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tokenizer = AutoTokenizer.from_pretrained("Ringkvist/Two_and_a_half_Qwen2.5-MiniFP16")
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model = AutoModelForCausalLM.from_pretrained(
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"Ringkvist/Two_and_a_half_Qwen2.5-MiniFP16",
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torch_dtype=torch.float16,
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)
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inputs = tokenizer("The future of AI is", return_tensors="pt")
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with torch.no_grad():
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outputs = model.generate(**inputs, max_new_tokens=100, temperature=0.7)
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print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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```
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## Limitations
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- Slight numerical precision loss vs float32 (negligible for inference)
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- Some operations may need float32 upcasting on certain hardware
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- Not as aggressive as int8/int4 quantization but much simpler and more portable
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## Base Model
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- **Model**: [Qwen/Qwen2.5-0.5B](https://huggingface.co/Qwen/Qwen2.5-0.5B)
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- **Parameters**: ~494M
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- **Architecture**: Qwen2 (decoder-only transformer)
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added_tokens.json
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added_tokens.json
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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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{{- messages[0]['content'] }}
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{{- "\n" }}
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{{- tool | tojson }}
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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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{%- if add_generation_prompt %}
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{{- '<|im_start|>assistant\n' }}
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55
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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"model_type": "qwen2",
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}
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6
generation_config.json
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generation_config.json
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{
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151388
merges.txt
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151388
merges.txt
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special_tokens_map.json
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special_tokens_map.json
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3
tokenizer.json
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3
tokenizer.json
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207
tokenizer_config.json
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tokenizer_config.json
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|
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|
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||||
},
|
||||
"151661": {
|
||||
"content": "<|fim_suffix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151662": {
|
||||
"content": "<|fim_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151663": {
|
||||
"content": "<|repo_name|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151664": {
|
||||
"content": "<|file_sep|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"bos_token": null,
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|endoftext|>",
|
||||
"errors": "replace",
|
||||
"extra_special_tokens": {},
|
||||
"model_max_length": 131072,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user