Image-Text-to-Text
Transformers
Safetensors
exaone4_5
text-generation
dashq
quantized
post-training-quantization
int2
conversational
custom_code
Instructions to use jkim96/EXAONE-4.5-33B-DASHQ-INT2-g32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jkim96/EXAONE-4.5-33B-DASHQ-INT2-g32 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="jkim96/EXAONE-4.5-33B-DASHQ-INT2-g32", trust_remote_code=True) messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] pipe(text=messages)# Load model directly from transformers import AutoProcessor, AutoModelForCausalLM processor = AutoProcessor.from_pretrained("jkim96/EXAONE-4.5-33B-DASHQ-INT2-g32", trust_remote_code=True) model = AutoModelForCausalLM.from_pretrained("jkim96/EXAONE-4.5-33B-DASHQ-INT2-g32", trust_remote_code=True, device_map="auto") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] inputs = processor.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use jkim96/EXAONE-4.5-33B-DASHQ-INT2-g32 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "jkim96/EXAONE-4.5-33B-DASHQ-INT2-g32" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "jkim96/EXAONE-4.5-33B-DASHQ-INT2-g32", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker
docker model run hf.co/jkim96/EXAONE-4.5-33B-DASHQ-INT2-g32
- SGLang
How to use jkim96/EXAONE-4.5-33B-DASHQ-INT2-g32 with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "jkim96/EXAONE-4.5-33B-DASHQ-INT2-g32" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "jkim96/EXAONE-4.5-33B-DASHQ-INT2-g32", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "jkim96/EXAONE-4.5-33B-DASHQ-INT2-g32" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "jkim96/EXAONE-4.5-33B-DASHQ-INT2-g32", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }' - Docker Model Runner
How to use jkim96/EXAONE-4.5-33B-DASHQ-INT2-g32 with Docker Model Runner:
docker model run hf.co/jkim96/EXAONE-4.5-33B-DASHQ-INT2-g32
Upload dashq quantized checkpoint (INT2, g32, scale_zero_dtype=float16, zero-shot avg=67.7)
Browse files- .gitattributes +1 -0
- README.md +63 -0
- chat_template.jinja +161 -0
- config.json +143 -0
- dashq_config.json +0 -0
- generation_config.json +13 -0
- model-00001-of-00004.safetensors +3 -0
- model-00002-of-00004.safetensors +3 -0
- model-00003-of-00004.safetensors +3 -0
- model-00004-of-00004.safetensors +3 -0
- model.safetensors.index.json +0 -0
- tokenizer.json +3 -0
- tokenizer_config.json +21 -0
.gitattributes
CHANGED
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: apache-2.0
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base_model: LGAI-EXAONE/EXAONE-4.5-33B
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library_name: transformers
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tags:
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- dashq
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- quantized
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- post-training-quantization
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---
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# EXAONE-4.5-33B-DASHQ-INT2-g32
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This repository contains a DASH-Q packed quantized checkpoint for `LGAI-EXAONE/EXAONE-4.5-33B`.
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DASH-Q checkpoints require the lightweight DASH-Q runtime package for loading. They are not plain Transformers checkpoints because linear layers are stored as `PackedQuantizedLinear` modules.
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## Install
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```bash
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pip install git+https://github.com/JaeminK/dashq.git
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```
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## Load
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```python
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from dashq import load_quantized
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model, tokenizer = load_quantized(
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"jkim96/EXAONE-4.5-33B-DASHQ-INT2-g32",
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device_map="auto",
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)
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```
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## Quantization
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| Field | Value |
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| --- | --- |
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| Base model | `LGAI-EXAONE/EXAONE-4.5-33B` |
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| Bits | `2` |
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| Group size | `32` |
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| Scale/zero dtype | `float16` |
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| Calibration dataset | `wikitext2` |
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| Calibration samples | `128` |
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| Sequence length | `2048` |
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| Original size | `68.7003 GB` |
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| Quantized size | `17.3280 GB` |
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## Evaluation
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| Metric | Value |
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| --- | ---: |
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| `wikitext2_ppl` | 10.4470 |
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| `zero-shot accuracy avg` | 67.7376 |
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| `arc_challenge` | 54.4369 |
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| `arc_easy` | 83.0808 |
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| `commonsense_qa` | 70.9255 |
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| `hellaswag` | 71.0118 |
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| `lambada_openai` | not run |
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| `openbookqa` | not run |
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| `piqa` | 78.1828 |
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| `truthfulqa_mc2` | 45.0182 |
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| `winogrande` | 71.5075 |
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|
chat_template.jinja
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| 1 |
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{% set image_count = namespace(value=0) %}
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| 2 |
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{% set video_count = namespace(value=0) %}
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| 4 |
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{%- set role_indicators = {
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'user': '<|user|>\n',
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'assistant': '<|assistant|>\n',
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| 7 |
+
'system': '<|system|>\n',
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| 8 |
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'tool': '<|tool|>\n',
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| 9 |
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'tool_declare': '<|tool_declare|>\n'
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+
} %}
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+
{%- set end_of_turn = '<|endofturn|>\n' %}
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| 13 |
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{%- macro declare_available_tools(tools) %}
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| 15 |
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{{- "# Tools" }}
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| 16 |
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{{- "\n" }}
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+
{%- for tool in tools %}
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| 18 |
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{{- "<tool>" }}
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| 19 |
+
{{- tool | tojson(ensure_ascii=False) | safe }}
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| 20 |
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{{- "</tool>\n" }}
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| 21 |
+
{%- endfor %}
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+
{%- endmacro %}
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+
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+
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{%- set ns = namespace(last_query_index = messages|length - 1, last_query_index_not_yet_determined = true) %}
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+
{%- for message in messages[::-1] %}
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| 27 |
+
{%- set index = (messages|length - 1) - loop.index0 %}
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| 28 |
+
{%- if ns.last_query_index_not_yet_determined and message.role == "user" and message.content is string %}
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| 29 |
+
{%- set ns.last_query_index = index -%}
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| 30 |
+
{%- set ns.last_query_index_not_yet_determined = false -%}
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| 31 |
+
{%- endif %}
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| 32 |
+
{%- endfor %}
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| 33 |
+
|
| 34 |
+
{%- if tools is defined and tools %}
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| 35 |
+
{{- role_indicators['tool_declare'] }}
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| 36 |
+
{{- declare_available_tools(tools) }}
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| 37 |
+
{{- end_of_turn -}}
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| 38 |
+
{%- endif %}
|
| 39 |
+
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| 40 |
+
{%- for i in range(messages | length) %}
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| 41 |
+
{%- set msg = messages[i] %}
|
| 42 |
+
{%- set role = msg.role %}
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| 43 |
+
{%- if role not in role_indicators %}
|
| 44 |
+
{{- raise_exception('Unknown role: ' ~ role) }}
|
| 45 |
+
{%- endif %}
|
| 46 |
+
|
| 47 |
+
{%- if i == 0 %}
|
| 48 |
+
{%- if role == 'system' %}
|
| 49 |
+
{{- role_indicators['system'] }}
|
| 50 |
+
{{- msg.content }}
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| 51 |
+
{{- end_of_turn -}}
|
| 52 |
+
{%- continue %}
|
| 53 |
+
{%- endif %}
|
| 54 |
+
{%- endif %}
|
| 55 |
+
|
| 56 |
+
{%- if role == 'assistant' %}
|
| 57 |
+
{{- role_indicators['assistant'] }}
|
| 58 |
+
|
| 59 |
+
{%- set content = (msg.content if (msg.content is defined and msg.content) else "") -%}
|
| 60 |
+
{%- set reasoning = none -%}
|
| 61 |
+
|
| 62 |
+
{%- if msg.reasoning_content is defined and msg.reasoning_content%}
|
| 63 |
+
{%- set reasoning = msg.reasoning_content.strip() -%}
|
| 64 |
+
{%- elif content and "</think>" in content %}
|
| 65 |
+
{%- set _parts = content.split('</think>') -%}
|
| 66 |
+
{%- set reasoning = _parts[0].lstrip('<think>').strip() -%}
|
| 67 |
+
{%- set content = _parts[-1].strip() -%}
|
| 68 |
+
{%- endif %}
|
| 69 |
+
|
| 70 |
+
{%- if not (reasoning and i > ns.last_query_index) or (skip_think is defined and skip_think) %}
|
| 71 |
+
{%- set reasoning = none %}
|
| 72 |
+
{%- endif %}
|
| 73 |
+
|
| 74 |
+
{%- set content = content.strip() -%}
|
| 75 |
+
|
| 76 |
+
{{- "<think>\n" }}
|
| 77 |
+
{{- (reasoning if reasoning is not none else "") }}
|
| 78 |
+
{{- "\n</think>\n\n" }}
|
| 79 |
+
|
| 80 |
+
{{- content }}
|
| 81 |
+
|
| 82 |
+
{%- if msg.tool_calls %}
|
| 83 |
+
{%- if content is defined and content %}
|
| 84 |
+
{{- "\n" }}
|
| 85 |
+
{%- endif %}
|
| 86 |
+
{%- for tool_call in msg.tool_calls %}
|
| 87 |
+
{%- if tool_call.function is defined %}
|
| 88 |
+
{%- set tool_call = tool_call.function %}
|
| 89 |
+
{%- endif %}
|
| 90 |
+
|
| 91 |
+
{%- if tool_call.arguments is defined %}
|
| 92 |
+
{%- set arguments = tool_call.arguments %}
|
| 93 |
+
{%- elif tool_call.parameters is defined %}
|
| 94 |
+
{%- set arguments = tool_call.parameters %}
|
| 95 |
+
{%- else %}
|
| 96 |
+
{{- raise_exception('arguments or parameters are mandatory: ' ~ tool_call) }}
|
| 97 |
+
{%- endif %}
|
| 98 |
+
{%- if arguments is string %}
|
| 99 |
+
{{- "<tool_call>" }}{"name": "{{- tool_call.name }}", "arguments": {{ arguments }}}{{- "</tool_call>" }}
|
| 100 |
+
{%- else %}
|
| 101 |
+
{{- "<tool_call>" }}{"name": "{{- tool_call.name }}", "arguments": {{ arguments | tojson(ensure_ascii=False) | safe }}}{{- "</tool_call>" }}
|
| 102 |
+
{%- endif %}
|
| 103 |
+
{%- if not loop.last %}
|
| 104 |
+
{{- "\n" }}
|
| 105 |
+
{%- endif %}
|
| 106 |
+
|
| 107 |
+
{%- endfor %}
|
| 108 |
+
{%- endif %}
|
| 109 |
+
{{- end_of_turn -}}
|
| 110 |
+
|
| 111 |
+
{%- elif role == "tool" %}
|
| 112 |
+
{%- if i == 0 or messages[i - 1].role != "tool" %}
|
| 113 |
+
{{- role_indicators['tool'] }}
|
| 114 |
+
{%- endif %}
|
| 115 |
+
{%- if msg.content is defined %}
|
| 116 |
+
{%- if msg.content is string %}
|
| 117 |
+
{{- "<tool_result>" }}{{ msg.content }}{{- "</tool_result>" }}
|
| 118 |
+
{%- else %}
|
| 119 |
+
{{- "<tool_result>" }}{{ msg.content | tojson(ensure_ascii=False) | safe }}{{- "</tool_result>" }}
|
| 120 |
+
{%- endif %}
|
| 121 |
+
{%- endif %}
|
| 122 |
+
{%- if loop.last or messages[i + 1].role != "tool" %}
|
| 123 |
+
{{- end_of_turn -}}
|
| 124 |
+
{%- else %}
|
| 125 |
+
{{- "\n" }}
|
| 126 |
+
{%- endif %}
|
| 127 |
+
|
| 128 |
+
{%- else %}
|
| 129 |
+
{{- role_indicators[role] }}
|
| 130 |
+
{%- if msg.content is string %}
|
| 131 |
+
{{- msg.content }}
|
| 132 |
+
{%- else %}
|
| 133 |
+
{%- for content in msg.content %}
|
| 134 |
+
{%- if content.type == 'image' %}
|
| 135 |
+
{%- set image_count.value = image_count.value + 1 %}
|
| 136 |
+
{%- if add_vision_id %}Picture {{ image_count.value }}: {% endif %}
|
| 137 |
+
{{- "<vision><|image_pad|></vision>\n" }}
|
| 138 |
+
{%- elif content.type == 'video' %}
|
| 139 |
+
{%- set video_count.value = video_count.value + 1 %}
|
| 140 |
+
{%- if add_vision_id %}Video {{ video_count.value }}: {% endif %}
|
| 141 |
+
{{- "<vision><|video_pad|></vision>\n" }}
|
| 142 |
+
{%- elif content.type == 'text' %}
|
| 143 |
+
{{- content.text }}
|
| 144 |
+
{%- else %}
|
| 145 |
+
{{- content.text }}
|
| 146 |
+
{%- endif %}
|
| 147 |
+
{%- endfor %}
|
| 148 |
+
{%- endif %}
|
| 149 |
+
{{- end_of_turn -}}
|
| 150 |
+
{%- endif %}
|
| 151 |
+
{% endfor %}
|
| 152 |
+
|
| 153 |
+
|
| 154 |
+
{%- if add_generation_prompt %}
|
| 155 |
+
{{- role_indicators['assistant'] }}
|
| 156 |
+
{%- if enable_thinking is not defined or enable_thinking is true %}
|
| 157 |
+
{{- "<think>\n" }}
|
| 158 |
+
{%- else %}
|
| 159 |
+
{{- "<think>\n\n</think>\n\n" }}
|
| 160 |
+
{%- endif %}
|
| 161 |
+
{%- endif %}
|
config.json
ADDED
|
@@ -0,0 +1,143 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Exaone4_5_ForConditionalGeneration"
|
| 4 |
+
],
|
| 5 |
+
"dtype": "bfloat16",
|
| 6 |
+
"image_token_id": 67,
|
| 7 |
+
"model_type": "exaone4_5",
|
| 8 |
+
"text_config": {
|
| 9 |
+
"_num_mtp_layers": 1,
|
| 10 |
+
"architectures": [
|
| 11 |
+
"Exaone4ForCausalLM"
|
| 12 |
+
],
|
| 13 |
+
"attention_dropout": 0.0,
|
| 14 |
+
"bos_token_id": 1,
|
| 15 |
+
"dtype": "bfloat16",
|
| 16 |
+
"eos_token_id": 53,
|
| 17 |
+
"hidden_act": "silu",
|
| 18 |
+
"hidden_size": 5120,
|
| 19 |
+
"initializer_range": 0.02,
|
| 20 |
+
"intermediate_size": 27392,
|
| 21 |
+
"layer_types": [
|
| 22 |
+
"sliding_attention",
|
| 23 |
+
"sliding_attention",
|
| 24 |
+
"sliding_attention",
|
| 25 |
+
"full_attention",
|
| 26 |
+
"sliding_attention",
|
| 27 |
+
"sliding_attention",
|
| 28 |
+
"sliding_attention",
|
| 29 |
+
"full_attention",
|
| 30 |
+
"sliding_attention",
|
| 31 |
+
"sliding_attention",
|
| 32 |
+
"sliding_attention",
|
| 33 |
+
"full_attention",
|
| 34 |
+
"sliding_attention",
|
| 35 |
+
"sliding_attention",
|
| 36 |
+
"sliding_attention",
|
| 37 |
+
"full_attention",
|
| 38 |
+
"sliding_attention",
|
| 39 |
+
"sliding_attention",
|
| 40 |
+
"sliding_attention",
|
| 41 |
+
"full_attention",
|
| 42 |
+
"sliding_attention",
|
| 43 |
+
"sliding_attention",
|
| 44 |
+
"sliding_attention",
|
| 45 |
+
"full_attention",
|
| 46 |
+
"sliding_attention",
|
| 47 |
+
"sliding_attention",
|
| 48 |
+
"sliding_attention",
|
| 49 |
+
"full_attention",
|
| 50 |
+
"sliding_attention",
|
| 51 |
+
"sliding_attention",
|
| 52 |
+
"sliding_attention",
|
| 53 |
+
"full_attention",
|
| 54 |
+
"sliding_attention",
|
| 55 |
+
"sliding_attention",
|
| 56 |
+
"sliding_attention",
|
| 57 |
+
"full_attention",
|
| 58 |
+
"sliding_attention",
|
| 59 |
+
"sliding_attention",
|
| 60 |
+
"sliding_attention",
|
| 61 |
+
"full_attention",
|
| 62 |
+
"sliding_attention",
|
| 63 |
+
"sliding_attention",
|
| 64 |
+
"sliding_attention",
|
| 65 |
+
"full_attention",
|
| 66 |
+
"sliding_attention",
|
| 67 |
+
"sliding_attention",
|
| 68 |
+
"sliding_attention",
|
| 69 |
+
"full_attention",
|
| 70 |
+
"sliding_attention",
|
| 71 |
+
"sliding_attention",
|
| 72 |
+
"sliding_attention",
|
| 73 |
+
"full_attention",
|
| 74 |
+
"sliding_attention",
|
| 75 |
+
"sliding_attention",
|
| 76 |
+
"sliding_attention",
|
| 77 |
+
"full_attention",
|
| 78 |
+
"sliding_attention",
|
| 79 |
+
"sliding_attention",
|
| 80 |
+
"sliding_attention",
|
| 81 |
+
"full_attention",
|
| 82 |
+
"sliding_attention",
|
| 83 |
+
"sliding_attention",
|
| 84 |
+
"sliding_attention",
|
| 85 |
+
"full_attention"
|
| 86 |
+
],
|
| 87 |
+
"max_position_embeddings": 262144,
|
| 88 |
+
"model_type": "exaone4",
|
| 89 |
+
"mtp_loss_scaling_factor": 0.05,
|
| 90 |
+
"mtp_share_layers": true,
|
| 91 |
+
"num_attention_heads": 40,
|
| 92 |
+
"num_hidden_layers": 64,
|
| 93 |
+
"num_key_value_heads": 8,
|
| 94 |
+
"num_nextn_predict_layers": 1,
|
| 95 |
+
"pad_token_id": 0,
|
| 96 |
+
"rms_norm_eps": 1e-05,
|
| 97 |
+
"rope_parameters": {
|
| 98 |
+
"factor": 16.0,
|
| 99 |
+
"high_freq_factor": 4.0,
|
| 100 |
+
"low_freq_factor": 1.0,
|
| 101 |
+
"original_max_position_embeddings": 8192,
|
| 102 |
+
"rope_theta": 1000000.0,
|
| 103 |
+
"rope_type": "llama3"
|
| 104 |
+
},
|
| 105 |
+
"sliding_window": 4096,
|
| 106 |
+
"sliding_window_pattern": "LLLG",
|
| 107 |
+
"tie_word_embeddings": false,
|
| 108 |
+
"use_cache": true,
|
| 109 |
+
"vocab_size": 153600
|
| 110 |
+
},
|
| 111 |
+
"tie_word_embeddings": false,
|
| 112 |
+
"transformers_version": "5.8.0",
|
| 113 |
+
"use_cache": false,
|
| 114 |
+
"video_token_id": 68,
|
| 115 |
+
"vision_config": {
|
| 116 |
+
"depth": 28,
|
| 117 |
+
"dtype": "bfloat16",
|
| 118 |
+
"fullatt_block_indexes": [
|
| 119 |
+
6,
|
| 120 |
+
13,
|
| 121 |
+
20,
|
| 122 |
+
27
|
| 123 |
+
],
|
| 124 |
+
"hidden_act": "silu",
|
| 125 |
+
"hidden_size": 2048,
|
| 126 |
+
"in_channels": 3,
|
| 127 |
+
"initializer_range": 0.02,
|
| 128 |
+
"intermediate_size": 5120,
|
| 129 |
+
"model_type": "exaone4_5_vision",
|
| 130 |
+
"num_heads": 32,
|
| 131 |
+
"num_key_value_heads": 8,
|
| 132 |
+
"out_hidden_size": 5120,
|
| 133 |
+
"patch_size": 14,
|
| 134 |
+
"spatial_merge_size": 2,
|
| 135 |
+
"temporal_patch_size": 2,
|
| 136 |
+
"tokens_per_second": 2,
|
| 137 |
+
"window_size": 112
|
| 138 |
+
},
|
| 139 |
+
"vision_end_token_id": 74,
|
| 140 |
+
"vision_start_token_id": 73,
|
| 141 |
+
"vision_token_id": 67,
|
| 142 |
+
"vocab_size": 153600
|
| 143 |
+
}
|
dashq_config.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
generation_config.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 1,
|
| 4 |
+
"do_sample": true,
|
| 5 |
+
"eos_token_id": 53,
|
| 6 |
+
"output_attentions": false,
|
| 7 |
+
"output_hidden_states": false,
|
| 8 |
+
"pad_token_id": 0,
|
| 9 |
+
"temperature": 1.0,
|
| 10 |
+
"top_p": 0.95,
|
| 11 |
+
"transformers_version": "5.8.0",
|
| 12 |
+
"use_cache": false
|
| 13 |
+
}
|
model-00001-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1901416fa057758d2076eadfdff2f742c77251d1b5131ea2c58762682924dae2
|
| 3 |
+
size 4991465320
|
model-00002-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:80ca5829378450a3f1826fc2d8841b90094a6785670edb5e750d0f522bf61325
|
| 3 |
+
size 4982642720
|
model-00003-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cf68b7a7e007ffd75efc31ef576ca9abf10e4e96c49c59afde2481c4362a6320
|
| 3 |
+
size 4994088696
|
model-00004-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5b3590e6e79ea1546931f989f72bc722202fd3c2740df1e6bb3ab8cd9cba3458
|
| 3 |
+
size 2359834248
|
model.safetensors.index.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0bd798efa30739e209d51f36cfc2f0a636711e37ad9d69b77e4e5c8ca5f09fab
|
| 3 |
+
size 12160205
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"backend": "tokenizers",
|
| 3 |
+
"bos_token": "[BOS]",
|
| 4 |
+
"clean_up_tokenization_spaces": false,
|
| 5 |
+
"eos_token": "<|endofturn|>",
|
| 6 |
+
"errors": "replace",
|
| 7 |
+
"is_local": false,
|
| 8 |
+
"local_files_only": false,
|
| 9 |
+
"model_input_names": [
|
| 10 |
+
"input_ids",
|
| 11 |
+
"attention_mask"
|
| 12 |
+
],
|
| 13 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 14 |
+
"model_specific_special_tokens": {},
|
| 15 |
+
"pad_token": "[PAD]",
|
| 16 |
+
"padding_side": "right",
|
| 17 |
+
"processor_class": "Exaone4_5_Processor",
|
| 18 |
+
"split_special_tokens": false,
|
| 19 |
+
"tokenizer_class": "TokenizersBackend",
|
| 20 |
+
"unk_token": "[UNK]"
|
| 21 |
+
}
|