Upload folder using huggingface_hub
Browse files- README.md +38 -0
- chat_template.jinja +55 -0
- config.json +1058 -0
- generation_config.json +7 -0
- model.safetensors +3 -0
- model.safetensors.index.json +786 -0
- processor_config.json +49 -0
- tokenizer.json +0 -0
- tokenizer_config.json +29 -0
README.md
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| 1 |
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---
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library_name: transformers
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license: other
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license_name: lfm1.0
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license_link: LICENSE
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language:
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- en
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- ja
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- ko
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- fr
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- es
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- de
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- ar
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- zh
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pipeline_tag: image-text-to-text
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tags:
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- liquid
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- lfm2
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- lfm2-vl
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- edge
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- lfm2.5-vl
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- lfm2.5
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- mlx
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base_model: LiquidAI/LFM2.5-1.2B-Base
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---
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# EZCon/LFM2.5-VL-1.6B-4bit-mlx
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This model was converted to MLX format from [`LiquidAI/LFM2.5-VL-1.6B`]() using mlx-vlm version **0.3.10**.
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Refer to the [original model card](https://huggingface.co/LiquidAI/LFM2.5-VL-1.6B) for more details on the model.
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## Use with mlx
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```bash
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pip install -U mlx-vlm
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```
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```bash
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python -m mlx_vlm.generate --model EZCon/LFM2.5-VL-1.6B-4bit-mlx --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
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```
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chat_template.jinja
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{{- bos_token -}}
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{%- set keep_past_thinking = keep_past_thinking | default(false) -%}
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{%- set ns = namespace(system_prompt="") -%}
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{%- if messages[0]["role"] == "system" -%}
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{%- set ns.system_prompt = messages[0]["content"] -%}
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{%- set messages = messages[1:] -%}
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{%- endif -%}
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{%- if tools -%}
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{%- set ns.system_prompt = ns.system_prompt + ("\n" if ns.system_prompt else "") + "List of tools: [" -%}
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{%- for tool in tools -%}
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{%- if tool is not string -%}
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{%- set tool = tool | tojson -%}
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{%- endif -%}
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{%- set ns.system_prompt = ns.system_prompt + tool -%}
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{%- if not loop.last -%}
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{%- set ns.system_prompt = ns.system_prompt + ", " -%}
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{%- endif -%}
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{%- endfor -%}
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{%- set ns.system_prompt = ns.system_prompt + "]" -%}
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{%- endif -%}
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{%- if ns.system_prompt -%}
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{{- "<|im_start|>system\n" + ns.system_prompt + "<|im_end|>\n" -}}
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{%- endif -%}
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{%- set ns.last_assistant_index = -1 -%}
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{%- for message in messages -%}
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{%- if message["role"] == "assistant" -%}
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{%- set ns.last_assistant_index = loop.index0 -%}
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{%- endif -%}
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{%- endfor -%}
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{%- for message in messages -%}
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{{- "<|im_start|>" + message["role"] + "\n" -}}
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{%- set content = message["content"] -%}
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{%- if content is not string -%}
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{%- set ns.content = "" -%}
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{%- for item in content -%}
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{%- if item["type"] == "image" -%}
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{%- set ns.content = ns.content + "<image>" -%}
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{%- elif item["type"] == "text" -%}
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{%- set ns.content = ns.content + item["text"] -%}
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{%- else -%}
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{%- set ns.content = ns.content + item | tojson -%}
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{%- endif -%}
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{%- endfor -%}
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{%- set content = ns.content -%}
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{%- endif -%}
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{%- if message["role"] == "assistant" and not keep_past_thinking and loop.index0 != ns.last_assistant_index -%}
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{%- if "</think>" in content -%}
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{%- set content = content.split("</think>")[-1] | trim -%}
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{%- endif -%}
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{%- endif -%}
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{{- content + "<|im_end|>\n" -}}
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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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|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Lfm2VlForConditionalGeneration"
|
| 4 |
+
],
|
| 5 |
+
"do_image_splitting": true,
|
| 6 |
+
"downsample_factor": 2,
|
| 7 |
+
"dtype": "bfloat16",
|
| 8 |
+
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|
| 9 |
+
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|
| 10 |
+
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|
| 11 |
+
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|
| 12 |
+
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|
| 13 |
+
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|
| 14 |
+
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|
| 15 |
+
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|
| 16 |
+
"model_type": "lfm2_vl",
|
| 17 |
+
"projector_bias": true,
|
| 18 |
+
"projector_hidden_act": "gelu",
|
| 19 |
+
"projector_hidden_size": 2048,
|
| 20 |
+
"projector_use_layernorm": false,
|
| 21 |
+
"quantization": {
|
| 22 |
+
"group_size": 64,
|
| 23 |
+
"bits": 6,
|
| 24 |
+
"mode": "affine",
|
| 25 |
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|
| 26 |
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|
| 27 |
+
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|
| 28 |
+
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|
| 29 |
+
},
|
| 30 |
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|
| 31 |
+
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|
| 32 |
+
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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| 38 |
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| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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| 43 |
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|
| 44 |
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| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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| 53 |
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|
| 54 |
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| 55 |
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| 56 |
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|
| 57 |
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| 58 |
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|
| 59 |
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|
| 60 |
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|
| 61 |
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|
| 62 |
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| 63 |
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| 64 |
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| 65 |
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|
| 66 |
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|
| 67 |
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|
| 68 |
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|
| 69 |
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| 70 |
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| 71 |
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|
| 72 |
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| 73 |
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| 74 |
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| 75 |
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| 76 |
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|
| 77 |
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|
| 78 |
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| 79 |
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| 81 |
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|
| 82 |
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| 83 |
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|
| 84 |
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| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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| 89 |
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| 90 |
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|
| 91 |
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|
| 92 |
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| 93 |
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|
| 94 |
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| 95 |
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|
| 96 |
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|
| 97 |
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| 98 |
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| 99 |
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| 101 |
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|
| 102 |
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| 103 |
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| 104 |
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| 105 |
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| 108 |
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| 109 |
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| 111 |
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| 112 |
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| 113 |
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| 114 |
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| 115 |
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| 116 |
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| 117 |
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| 118 |
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| 119 |
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| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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| 130 |
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|
| 131 |
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|
| 132 |
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| 133 |
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| 134 |
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| 135 |
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|
| 136 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
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|
| 140 |
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|
| 141 |
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|
| 142 |
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| 143 |
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|
| 144 |
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| 145 |
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|
| 146 |
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|
| 147 |
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| 148 |
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| 149 |
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| 154 |
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|
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|
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|
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| 159 |
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|
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| 171 |
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| 942 |
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|
| 943 |
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|
| 944 |
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},
|
| 945 |
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|
| 946 |
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|
| 947 |
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|
| 948 |
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|
| 949 |
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|
| 950 |
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|
| 951 |
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|
| 952 |
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|
| 953 |
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|
| 954 |
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|
| 955 |
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|
| 956 |
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|
| 957 |
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|
| 958 |
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|
| 959 |
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|
| 960 |
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|
| 961 |
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|
| 962 |
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|
| 963 |
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|
| 964 |
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|
| 965 |
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|
| 966 |
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|
| 967 |
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|
| 968 |
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|
| 969 |
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|
| 970 |
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|
| 971 |
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|
| 972 |
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|
| 973 |
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|
| 974 |
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|
| 975 |
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|
| 976 |
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|
| 977 |
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|
| 978 |
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"mode": "affine"
|
| 979 |
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}
|
| 980 |
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},
|
| 981 |
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|
| 982 |
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"_name_or_path": "LiquidAI/LFM2-1.2B",
|
| 983 |
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"architectures": [
|
| 984 |
+
"Lfm2ForCausalLM"
|
| 985 |
+
],
|
| 986 |
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|
| 987 |
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"block_dim": 2048,
|
| 988 |
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|
| 989 |
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|
| 990 |
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|
| 991 |
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|
| 992 |
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|
| 993 |
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|
| 994 |
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|
| 995 |
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|
| 996 |
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"conv_L_cache": 3,
|
| 997 |
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"conv_bias": false,
|
| 998 |
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"conv_dim": 2048,
|
| 999 |
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|
| 1000 |
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|
| 1001 |
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"dtype": "bfloat16",
|
| 1002 |
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|
| 1003 |
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|
| 1004 |
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|
| 1005 |
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|
| 1006 |
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|
| 1007 |
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"conv",
|
| 1008 |
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"conv",
|
| 1009 |
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"full_attention",
|
| 1010 |
+
"conv",
|
| 1011 |
+
"conv",
|
| 1012 |
+
"full_attention",
|
| 1013 |
+
"conv",
|
| 1014 |
+
"conv",
|
| 1015 |
+
"full_attention",
|
| 1016 |
+
"conv",
|
| 1017 |
+
"full_attention",
|
| 1018 |
+
"conv",
|
| 1019 |
+
"full_attention",
|
| 1020 |
+
"conv",
|
| 1021 |
+
"full_attention",
|
| 1022 |
+
"conv"
|
| 1023 |
+
],
|
| 1024 |
+
"max_position_embeddings": 128000,
|
| 1025 |
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"model_type": "lfm2",
|
| 1026 |
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"norm_eps": 1e-05,
|
| 1027 |
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"num_attention_heads": 32,
|
| 1028 |
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"num_heads": 32,
|
| 1029 |
+
"num_hidden_layers": 16,
|
| 1030 |
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|
| 1031 |
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"rope_parameters": {
|
| 1032 |
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"rope_theta": 1000000.0,
|
| 1033 |
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"rope_type": "default"
|
| 1034 |
+
},
|
| 1035 |
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"use_cache": true,
|
| 1036 |
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"use_pos_enc": true,
|
| 1037 |
+
"vocab_size": 65536
|
| 1038 |
+
},
|
| 1039 |
+
"tile_size": 512,
|
| 1040 |
+
"transformers_version": "5.0.0.dev0",
|
| 1041 |
+
"use_image_special_tokens": true,
|
| 1042 |
+
"use_thumbnail": true,
|
| 1043 |
+
"vision_config": {
|
| 1044 |
+
"attention_dropout": 0.0,
|
| 1045 |
+
"dtype": "bfloat16",
|
| 1046 |
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"hidden_act": "gelu_pytorch_tanh",
|
| 1047 |
+
"hidden_size": 1152,
|
| 1048 |
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"intermediate_size": 4304,
|
| 1049 |
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"layer_norm_eps": 1e-06,
|
| 1050 |
+
"model_type": "siglip2_vision_model",
|
| 1051 |
+
"num_attention_heads": 16,
|
| 1052 |
+
"num_channels": 3,
|
| 1053 |
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"num_hidden_layers": 27,
|
| 1054 |
+
"num_patches": 256,
|
| 1055 |
+
"patch_size": 16,
|
| 1056 |
+
"vision_use_head": false
|
| 1057 |
+
}
|
| 1058 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 1,
|
| 4 |
+
"eos_token_id": 7,
|
| 5 |
+
"pad_token_id": 0,
|
| 6 |
+
"transformers_version": "5.0.0.dev0"
|
| 7 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b56e80d50ddd4f082bab8ee26e0f238f12954f7b709332a86d8710de49708246
|
| 3 |
+
size 1491575838
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1,786 @@
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|
|
|
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|
| 740 |
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|
| 741 |
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|
| 742 |
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|
| 743 |
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|
| 744 |
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|
| 745 |
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|
| 746 |
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|
| 747 |
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|
| 748 |
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"vision_tower.encoder.layers.7.self_attn.q_proj.weight": "model.safetensors",
|
| 749 |
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"vision_tower.encoder.layers.7.self_attn.v_proj.bias": "model.safetensors",
|
| 750 |
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"vision_tower.encoder.layers.7.self_attn.v_proj.weight": "model.safetensors",
|
| 751 |
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"vision_tower.encoder.layers.8.layer_norm1.bias": "model.safetensors",
|
| 752 |
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|
| 753 |
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|
| 754 |
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"vision_tower.encoder.layers.8.layer_norm2.weight": "model.safetensors",
|
| 755 |
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"vision_tower.encoder.layers.8.mlp.fc1.bias": "model.safetensors",
|
| 756 |
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|
| 757 |
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|
| 758 |
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|
| 759 |
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"vision_tower.encoder.layers.8.self_attn.k_proj.bias": "model.safetensors",
|
| 760 |
+
"vision_tower.encoder.layers.8.self_attn.k_proj.weight": "model.safetensors",
|
| 761 |
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"vision_tower.encoder.layers.8.self_attn.out_proj.bias": "model.safetensors",
|
| 762 |
+
"vision_tower.encoder.layers.8.self_attn.out_proj.weight": "model.safetensors",
|
| 763 |
+
"vision_tower.encoder.layers.8.self_attn.q_proj.bias": "model.safetensors",
|
| 764 |
+
"vision_tower.encoder.layers.8.self_attn.q_proj.weight": "model.safetensors",
|
| 765 |
+
"vision_tower.encoder.layers.8.self_attn.v_proj.bias": "model.safetensors",
|
| 766 |
+
"vision_tower.encoder.layers.8.self_attn.v_proj.weight": "model.safetensors",
|
| 767 |
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"vision_tower.encoder.layers.9.layer_norm1.bias": "model.safetensors",
|
| 768 |
+
"vision_tower.encoder.layers.9.layer_norm1.weight": "model.safetensors",
|
| 769 |
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|
| 770 |
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"vision_tower.encoder.layers.9.layer_norm2.weight": "model.safetensors",
|
| 771 |
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|
| 772 |
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"vision_tower.encoder.layers.9.mlp.fc1.weight": "model.safetensors",
|
| 773 |
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"vision_tower.encoder.layers.9.mlp.fc2.bias": "model.safetensors",
|
| 774 |
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"vision_tower.encoder.layers.9.mlp.fc2.weight": "model.safetensors",
|
| 775 |
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"vision_tower.encoder.layers.9.self_attn.k_proj.bias": "model.safetensors",
|
| 776 |
+
"vision_tower.encoder.layers.9.self_attn.k_proj.weight": "model.safetensors",
|
| 777 |
+
"vision_tower.encoder.layers.9.self_attn.out_proj.bias": "model.safetensors",
|
| 778 |
+
"vision_tower.encoder.layers.9.self_attn.out_proj.weight": "model.safetensors",
|
| 779 |
+
"vision_tower.encoder.layers.9.self_attn.q_proj.bias": "model.safetensors",
|
| 780 |
+
"vision_tower.encoder.layers.9.self_attn.q_proj.weight": "model.safetensors",
|
| 781 |
+
"vision_tower.encoder.layers.9.self_attn.v_proj.bias": "model.safetensors",
|
| 782 |
+
"vision_tower.encoder.layers.9.self_attn.v_proj.weight": "model.safetensors",
|
| 783 |
+
"vision_tower.post_layernorm.bias": "model.safetensors",
|
| 784 |
+
"vision_tower.post_layernorm.weight": "model.safetensors"
|
| 785 |
+
}
|
| 786 |
+
}
|
processor_config.json
ADDED
|
@@ -0,0 +1,49 @@
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|
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|
| 1 |
+
{
|
| 2 |
+
"image_processor": {
|
| 3 |
+
"crop_size": null,
|
| 4 |
+
"data_format": "channels_first",
|
| 5 |
+
"device": null,
|
| 6 |
+
"disable_grouping": null,
|
| 7 |
+
"do_center_crop": null,
|
| 8 |
+
"do_convert_rgb": null,
|
| 9 |
+
"do_image_splitting": true,
|
| 10 |
+
"do_normalize": true,
|
| 11 |
+
"do_pad": true,
|
| 12 |
+
"do_rescale": true,
|
| 13 |
+
"do_resize": true,
|
| 14 |
+
"downsample_factor": 2,
|
| 15 |
+
"encoder_patch_size": 16,
|
| 16 |
+
"image_mean": [
|
| 17 |
+
0.5,
|
| 18 |
+
0.5,
|
| 19 |
+
0.5
|
| 20 |
+
],
|
| 21 |
+
"image_processor_type": "Lfm2VlImageProcessorFast",
|
| 22 |
+
"image_seq_length": null,
|
| 23 |
+
"image_std": [
|
| 24 |
+
0.5,
|
| 25 |
+
0.5,
|
| 26 |
+
0.5
|
| 27 |
+
],
|
| 28 |
+
"input_data_format": null,
|
| 29 |
+
"max_image_tokens": 256,
|
| 30 |
+
"max_num_patches": 1024,
|
| 31 |
+
"max_pixels_tolerance": 2.0,
|
| 32 |
+
"max_tiles": 10,
|
| 33 |
+
"min_image_tokens": 64,
|
| 34 |
+
"min_tiles": 2,
|
| 35 |
+
"pad_size": null,
|
| 36 |
+
"processor_class": "Lfm2VlProcessor",
|
| 37 |
+
"resample": 2,
|
| 38 |
+
"rescale_factor": 0.00392156862745098,
|
| 39 |
+
"return_row_col_info": true,
|
| 40 |
+
"return_tensors": null,
|
| 41 |
+
"size": {
|
| 42 |
+
"height": 512,
|
| 43 |
+
"width": 512
|
| 44 |
+
},
|
| 45 |
+
"tile_size": 512,
|
| 46 |
+
"use_thumbnail": true
|
| 47 |
+
},
|
| 48 |
+
"processor_class": "Lfm2VlProcessor"
|
| 49 |
+
}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
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|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,29 @@
|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": null,
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"bos_token": "<|startoftext|>",
|
| 5 |
+
"clean_up_tokenization_spaces": true,
|
| 6 |
+
"eos_token": "<|im_end|>",
|
| 7 |
+
"extra_special_tokens": [],
|
| 8 |
+
"image_end_token": "<|image_end|>",
|
| 9 |
+
"image_start_token": "<|image_start|>",
|
| 10 |
+
"image_thumbnail": "<|img_thumbnail|>",
|
| 11 |
+
"image_token": "<image>",
|
| 12 |
+
"is_local": true,
|
| 13 |
+
"legacy": false,
|
| 14 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 15 |
+
"model_specific_special_tokens": {
|
| 16 |
+
"image_end_token": "<|image_end|>",
|
| 17 |
+
"image_start_token": "<|image_start|>",
|
| 18 |
+
"image_thumbnail": "<|img_thumbnail|>",
|
| 19 |
+
"image_token": "<image>"
|
| 20 |
+
},
|
| 21 |
+
"pad_token": "<|pad|>",
|
| 22 |
+
"processor_class": "Lfm2VlProcessor",
|
| 23 |
+
"return_token_type_ids": false,
|
| 24 |
+
"sp_model_kwargs": {},
|
| 25 |
+
"spaces_between_special_tokens": false,
|
| 26 |
+
"tokenizer_class": "TokenizersBackend",
|
| 27 |
+
"use_default_system_prompt": false,
|
| 28 |
+
"use_fast": true
|
| 29 |
+
}
|