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Model: JongYeop/Qwen2.5-14B-Instruct-FP8-W8A8 Source: Original Platform
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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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library_name: transformers
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tags:
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- quantization
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- fp8
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- compressed-tensors
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- qwen2
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- text-generation
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- 8bit
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base_model: Qwen/Qwen2.5-14B-Instruct
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pipeline_tag: text-generation
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model-index:
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- name: Qwen2.5-14B-Instruct-FP8-W8A8
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results: []
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quantization:
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quant_method: compressed-tensors
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bits: 8
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type: float
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format: float-quantized
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strategy: tensor
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symmetric: true
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---
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# Qwen2.5-14B-Instruct-FP8-W8A8
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## Model Description
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This is an FP8 quantized version of [Qwen/Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct) using the compressed-tensors quantization method.
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- **Base Model**: Qwen/Qwen2.5-14B-Instruct
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- **Quantization Method**: compressed-tensors
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- **Quantization Type**: FP8 W8A8 (8-bit Weight and Activation)
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- **Model Size**: ~16.3GB (compared to ~28GB for BF16)
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- **Compression Ratio**: ~1.7x
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## Quantization Configuration
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This model uses **FP8 quantization** with per-tensor quantization for both weights and activations:
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### Weights
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- **Precision**: FP8 (8-bit floating point)
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- **Strategy**: Per-tensor
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- **Group Size**: None (per-tensor)
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- **Symmetric**: Yes
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- **Dynamic**: No (static quantization)
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- **Observer**: MinMax
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### Activations
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- **Precision**: FP8 (8-bit floating point)
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- **Strategy**: Per-tensor
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- **Group Size**: None (per-tensor)
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- **Symmetric**: Yes
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- **Dynamic**: No (static quantization)
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- **Observer**: MinMax
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### Other Details
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- **Format**: float-quantized
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- **KV Cache**: Not quantized
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- **Ignored Layers**: lm_head
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- **Target Layers**: Linear layers
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- **Quantization Version**: 0.11.0
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## Usage
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_id = "JongYeop/Qwen2.5-14B-Instruct-FP8-W8A8"
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# Load tokenizer
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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# Load quantized model
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model = AutoModelForCausalLM.from_pretrained(
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model_id,
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device_map="auto",
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torch_dtype="auto"
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)
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# Generate text
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messages = [
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{"role": "user", "content": "What is machine learning?"}
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]
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input_ids = tokenizer.apply_chat_template(
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messages,
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add_generation_prompt=True,
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return_tensors="pt"
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).to(model.device)
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outputs = model.generate(
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input_ids,
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max_new_tokens=256,
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do_sample=True,
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temperature=0.7,
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top_p=0.9,
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)
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response = tokenizer.decode(outputs[0][input_ids.shape[-1]:], skip_special_tokens=True)
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print(response)
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```
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## Model Architecture
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- **Architecture**: Qwen2ForCausalLM
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- **Hidden Size**: 5120
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- **Intermediate Size**: 13824
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- **Number of Layers**: 48
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- **Number of Attention Heads**: 40
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- **Number of KV Heads**: 8
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- **Vocabulary Size**: 152064
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- **Max Position Embeddings**: 32768
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## Intended Use
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This quantized model is intended for efficient inference with reduced memory footprint while maintaining high accuracy. It is suitable for:
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- Production deployment with reduced memory requirements
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- High throughput inference scenarios
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- GPU inference with FP8 support
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- Applications where accuracy is important but memory savings are desired
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## Limitations
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- Best performance is achieved on hardware with native FP8 support (e.g., NVIDIA H100, Ada Lovelace, Blackwell GPUs)
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- Requires compatible inference engines that support FP8 computation
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- Static quantization may not adapt to varying input distributions
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## Performance Notes
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- **Memory Usage**: ~1.7x reduction compared to BF16
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- **Speed**: Requires hardware with FP8 tensor core support for optimal performance
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- **Accuracy**: Generally retains most of the original model's accuracy, with minimal degradation compared to FP4
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## Citation
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If you use this model, please cite the original Qwen2.5 paper and the compressed-tensors library.
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## License
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Same as the base model: [Apache 2.0](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct)
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added_tokens.json
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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 Qwen, created by Alibaba Cloud. 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 Qwen, created by Alibaba Cloud. You 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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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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"eos_token_id": 151645,
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"hidden_act": "silu",
|
||||
"hidden_size": 5120,
|
||||
"initializer_range": 0.02,
|
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|
||||
"layer_types": [
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
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|
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|
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|
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|
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"full_attention",
|
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"full_attention",
|
||||
"full_attention"
|
||||
],
|
||||
"max_position_embeddings": 32768,
|
||||
"max_window_layers": 70,
|
||||
"model_type": "qwen2",
|
||||
"num_attention_heads": 40,
|
||||
"num_hidden_layers": 48,
|
||||
"num_key_value_heads": 8,
|
||||
"quantization_config": {
|
||||
"config_groups": {
|
||||
"group_0": {
|
||||
"format": "float-quantized",
|
||||
"input_activations": {
|
||||
"actorder": null,
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||||
"block_structure": null,
|
||||
"dynamic": false,
|
||||
"group_size": null,
|
||||
"num_bits": 8,
|
||||
"observer": "minmax",
|
||||
"observer_kwargs": {},
|
||||
"strategy": "tensor",
|
||||
"symmetric": true,
|
||||
"type": "float"
|
||||
},
|
||||
"output_activations": null,
|
||||
"targets": [
|
||||
"Linear"
|
||||
],
|
||||
"weights": {
|
||||
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|
||||
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|
||||
"dynamic": false,
|
||||
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|
||||
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|
||||
"observer": "minmax",
|
||||
"observer_kwargs": {},
|
||||
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|
||||
"symmetric": true,
|
||||
"type": "float"
|
||||
}
|
||||
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|
||||
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|
||||
"format": "float-quantized",
|
||||
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|
||||
"ignore": [
|
||||
"lm_head"
|
||||
],
|
||||
"kv_cache_scheme": null,
|
||||
"quant_method": "compressed-tensors",
|
||||
"quantization_status": "compressed",
|
||||
"sparsity_config": {},
|
||||
"transform_config": {},
|
||||
"version": "0.11.0"
|
||||
},
|
||||
"rms_norm_eps": 1e-06,
|
||||
"rope_scaling": null,
|
||||
"rope_theta": 1000000.0,
|
||||
"sliding_window": null,
|
||||
"tie_word_embeddings": false,
|
||||
"torch_dtype": "bfloat16",
|
||||
"transformers_version": "4.55.2",
|
||||
"use_cache": true,
|
||||
"use_sliding_window": false,
|
||||
"vocab_size": 152064
|
||||
}
|
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generation_config.json
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{
|
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"bos_token_id": 151643,
|
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"do_sample": true,
|
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"eos_token_id": [
|
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151645,
|
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151643
|
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],
|
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"pad_token_id": 151643,
|
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"repetition_penalty": 1.05,
|
||||
"temperature": 0.7,
|
||||
"top_k": 20,
|
||||
"top_p": 0.8,
|
||||
"transformers_version": "4.55.2"
|
||||
}
|
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151388
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model-00001-of-00004.safetensors
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model-00001-of-00004.safetensors
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model.safetensors.index.json
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model.safetensors.index.json
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recipe.yaml
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recipe.yaml
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quant_stage:
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quant_modifiers:
|
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QuantizationModifier:
|
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config_groups:
|
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group_0:
|
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targets: [Linear]
|
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weights:
|
||||
num_bits: 8
|
||||
type: float
|
||||
symmetric: true
|
||||
group_size: null
|
||||
strategy: tensor
|
||||
block_structure: null
|
||||
dynamic: false
|
||||
actorder: null
|
||||
observer: minmax
|
||||
observer_kwargs: {}
|
||||
input_activations:
|
||||
num_bits: 8
|
||||
type: float
|
||||
symmetric: true
|
||||
group_size: null
|
||||
strategy: tensor
|
||||
block_structure: null
|
||||
dynamic: false
|
||||
actorder: null
|
||||
observer: minmax
|
||||
observer_kwargs: {}
|
||||
output_activations: null
|
||||
format: null
|
||||
targets: [Linear]
|
||||
ignore: [lm_head]
|
||||
31
special_tokens_map.json
Normal file
31
special_tokens_map.json
Normal file
@@ -0,0 +1,31 @@
|
||||
{
|
||||
"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|>"
|
||||
],
|
||||
"eos_token": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:913950e4971737031da511cdd1b410daae4566f62eb845b3975bca5a102323d8
|
||||
size 11421995
|
||||
207
tokenizer_config.json
Normal file
207
tokenizer_config.json
Normal file
@@ -0,0 +1,207 @@
|
||||
{
|
||||
"add_bos_token": false,
|
||||
"add_prefix_space": false,
|
||||
"added_tokens_decoder": {
|
||||
"151643": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151644": {
|
||||
"content": "<|im_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151645": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151646": {
|
||||
"content": "<|object_ref_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151647": {
|
||||
"content": "<|object_ref_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151648": {
|
||||
"content": "<|box_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151649": {
|
||||
"content": "<|box_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151650": {
|
||||
"content": "<|quad_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151651": {
|
||||
"content": "<|quad_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151652": {
|
||||
"content": "<|vision_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151653": {
|
||||
"content": "<|vision_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151654": {
|
||||
"content": "<|vision_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151655": {
|
||||
"content": "<|image_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151656": {
|
||||
"content": "<|video_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151657": {
|
||||
"content": "<tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151658": {
|
||||
"content": "</tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151659": {
|
||||
"content": "<|fim_prefix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151660": {
|
||||
"content": "<|fim_middle|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"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": "<|im_end|>",
|
||||
"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