Instructions to use arunasank/22dypqi7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arunasank/22dypqi7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="arunasank/22dypqi7") 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, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("arunasank/22dypqi7") model = AutoModelForImageTextToText.from_pretrained("arunasank/22dypqi7") 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
- vLLM
How to use arunasank/22dypqi7 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "arunasank/22dypqi7" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "arunasank/22dypqi7", "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/arunasank/22dypqi7
- SGLang
How to use arunasank/22dypqi7 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 "arunasank/22dypqi7" \ --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": "arunasank/22dypqi7", "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 "arunasank/22dypqi7" \ --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": "arunasank/22dypqi7", "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 arunasank/22dypqi7 with Docker Model Runner:
docker model run hf.co/arunasank/22dypqi7
Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- checkpoint-3500/added_tokens.json +3 -0
- checkpoint-3500/chat_template.jinja +47 -0
- checkpoint-3500/config.json +110 -0
- checkpoint-3500/generation_config.json +13 -0
- checkpoint-3500/model-00001-of-00005.safetensors +3 -0
- checkpoint-3500/model-00002-of-00005.safetensors +3 -0
- checkpoint-3500/model-00003-of-00005.safetensors +3 -0
- checkpoint-3500/model-00004-of-00005.safetensors +3 -0
- checkpoint-3500/model-00005-of-00005.safetensors +3 -0
- checkpoint-3500/model.safetensors.index.json +0 -0
- checkpoint-3500/optimizer.pt +3 -0
- checkpoint-3500/rng_state.pth +3 -0
- checkpoint-3500/scheduler.pt +3 -0
- checkpoint-3500/special_tokens_map.json +33 -0
- checkpoint-3500/tokenizer.json +3 -0
- checkpoint-3500/tokenizer.model +3 -0
- checkpoint-3500/tokenizer_config.json +0 -0
- checkpoint-3500/trainer_state.json +0 -0
- checkpoint-3500/training_args.bin +3 -0
.gitattributes
CHANGED
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@@ -39,3 +39,4 @@ checkpoint-1500/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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checkpoint-2000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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checkpoint-3000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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checkpoint-2000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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checkpoint-3000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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checkpoint-3500/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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checkpoint-3500/added_tokens.json
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{
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"<image_soft_token>": 262144
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}
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checkpoint-3500/chat_template.jinja
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{{ bos_token }}
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{%- if messages[0]['role'] == 'system' -%}
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{%- if messages[0]['content'] is string -%}
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{%- set first_user_prefix = messages[0]['content'] + '
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' -%}
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{%- else -%}
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{%- set first_user_prefix = messages[0]['content'][0]['text'] + '
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' -%}
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{%- endif -%}
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{%- set loop_messages = messages[1:] -%}
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{%- else -%}
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{%- set first_user_prefix = "" -%}
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{%- set loop_messages = messages -%}
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{%- endif -%}
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{%- for message in loop_messages -%}
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{%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}
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{{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }}
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{%- endif -%}
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{%- if (message['role'] == 'assistant') -%}
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{%- set role = "model" -%}
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{%- else -%}
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{%- set role = message['role'] -%}
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{%- endif -%}
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{{ '<start_of_turn>' + role + '
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' + (first_user_prefix if loop.first else "") }}
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{%- if message['content'] is string -%}
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{{ message['content'] | trim }}
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{%- elif message['content'] is iterable -%}
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{%- for item in message['content'] -%}
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{%- if item['type'] == 'image' -%}
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{{ '<start_of_image>' }}
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{%- elif item['type'] == 'text' -%}
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{{ item['text'] | trim }}
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{%- endif -%}
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{%- endfor -%}
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{%- else -%}
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{{ raise_exception("Invalid content type") }}
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{%- endif -%}
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{{ '<end_of_turn>
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' }}
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{%- endfor -%}
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{%- if add_generation_prompt -%}
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{{'<start_of_turn>model
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'}}
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{%- endif -%}
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checkpoint-3500/config.json
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{
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"architectures": [
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"Gemma3ForConditionalGeneration"
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],
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"boi_token_index": 255999,
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"bos_token_id": 2,
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"dtype": "bfloat16",
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"eoi_token_index": 256000,
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"eos_token_id": 1,
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"image_token_index": 262144,
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| 11 |
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"initializer_range": 0.02,
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"mm_tokens_per_image": 256,
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"model_type": "gemma3",
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"pad_token_id": 0,
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"text_config": {
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"_sliding_window_pattern": 6,
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"attention_bias": false,
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"attention_dropout": 0.0,
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| 19 |
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"attn_logit_softcapping": null,
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"dtype": "bfloat16",
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| 21 |
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"final_logit_softcapping": null,
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| 22 |
+
"head_dim": 256,
|
| 23 |
+
"hidden_activation": "gelu_pytorch_tanh",
|
| 24 |
+
"hidden_size": 3840,
|
| 25 |
+
"initializer_range": 0.02,
|
| 26 |
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"intermediate_size": 15360,
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+
"layer_types": [
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"full_attention",
|
| 40 |
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"sliding_attention",
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"sliding_attention",
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| 42 |
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"sliding_attention",
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| 43 |
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"sliding_attention",
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"sliding_attention",
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| 45 |
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"full_attention",
|
| 46 |
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"sliding_attention",
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| 47 |
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"sliding_attention",
|
| 48 |
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"sliding_attention",
|
| 49 |
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"sliding_attention",
|
| 50 |
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"sliding_attention",
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| 51 |
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"full_attention",
|
| 52 |
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"sliding_attention",
|
| 53 |
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"sliding_attention",
|
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"sliding_attention",
|
| 55 |
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"sliding_attention",
|
| 56 |
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"sliding_attention",
|
| 57 |
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"full_attention",
|
| 58 |
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"sliding_attention",
|
| 59 |
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"sliding_attention",
|
| 60 |
+
"sliding_attention",
|
| 61 |
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"sliding_attention",
|
| 62 |
+
"sliding_attention",
|
| 63 |
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"full_attention",
|
| 64 |
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"sliding_attention",
|
| 65 |
+
"sliding_attention",
|
| 66 |
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"sliding_attention",
|
| 67 |
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"sliding_attention",
|
| 68 |
+
"sliding_attention",
|
| 69 |
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"full_attention",
|
| 70 |
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"sliding_attention",
|
| 71 |
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"sliding_attention",
|
| 72 |
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"sliding_attention",
|
| 73 |
+
"sliding_attention",
|
| 74 |
+
"sliding_attention",
|
| 75 |
+
"full_attention"
|
| 76 |
+
],
|
| 77 |
+
"max_position_embeddings": 131072,
|
| 78 |
+
"model_type": "gemma3_text",
|
| 79 |
+
"num_attention_heads": 16,
|
| 80 |
+
"num_hidden_layers": 48,
|
| 81 |
+
"num_key_value_heads": 8,
|
| 82 |
+
"query_pre_attn_scalar": 256,
|
| 83 |
+
"rms_norm_eps": 1e-06,
|
| 84 |
+
"rope_local_base_freq": 10000.0,
|
| 85 |
+
"rope_scaling": {
|
| 86 |
+
"factor": 8.0,
|
| 87 |
+
"rope_type": "linear"
|
| 88 |
+
},
|
| 89 |
+
"rope_theta": 1000000.0,
|
| 90 |
+
"sliding_window": 1024,
|
| 91 |
+
"use_cache": true,
|
| 92 |
+
"vocab_size": 262208
|
| 93 |
+
},
|
| 94 |
+
"transformers_version": "4.56.1",
|
| 95 |
+
"vision_config": {
|
| 96 |
+
"attention_dropout": 0.0,
|
| 97 |
+
"dtype": "bfloat16",
|
| 98 |
+
"hidden_act": "gelu_pytorch_tanh",
|
| 99 |
+
"hidden_size": 1152,
|
| 100 |
+
"image_size": 896,
|
| 101 |
+
"intermediate_size": 4304,
|
| 102 |
+
"layer_norm_eps": 1e-06,
|
| 103 |
+
"model_type": "siglip_vision_model",
|
| 104 |
+
"num_attention_heads": 16,
|
| 105 |
+
"num_channels": 3,
|
| 106 |
+
"num_hidden_layers": 27,
|
| 107 |
+
"patch_size": 14,
|
| 108 |
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"vision_use_head": false
|
| 109 |
+
}
|
| 110 |
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}
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checkpoint-3500/generation_config.json
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{
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"bos_token_id": 2,
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"do_sample": true,
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| 4 |
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"eos_token_id": [
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1,
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1,
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| 7 |
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106
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],
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| 9 |
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"pad_token_id": 0,
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| 10 |
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"top_k": 64,
|
| 11 |
+
"top_p": 0.95,
|
| 12 |
+
"transformers_version": "4.56.1"
|
| 13 |
+
}
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checkpoint-3500/model-00001-of-00005.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:4847447e92599833e8dbaa3067cd201c3bb5c052efa91f11ba891e43234f7832
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| 3 |
+
size 4979902192
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checkpoint-3500/model-00002-of-00005.safetensors
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:891bd54eed03cba9ee1e705533a02a8217fcc29f356e4a1f53e5fd0d178883ad
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| 3 |
+
size 4931296592
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checkpoint-3500/model-00003-of-00005.safetensors
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:7cee411d9d57324e50ce064a192cc5a858276d508611b12fc599e0c9767112e0
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| 3 |
+
size 4931296656
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checkpoint-3500/model-00004-of-00005.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:e1fc634490d19018e5ed5742619912072d38f0b6700e5796fad7f3a7c5f9a6fd
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| 3 |
+
size 4931296656
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checkpoint-3500/model-00005-of-00005.safetensors
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version https://git-lfs.github.com/spec/v1
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checkpoint-3500/optimizer.pt
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checkpoint-3500/rng_state.pth
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checkpoint-3500/scheduler.pt
ADDED
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checkpoint-3500/special_tokens_map.json
ADDED
|
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|
| 3 |
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| 4 |
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| 5 |
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| 14 |
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|
| 17 |
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| 19 |
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| 20 |
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| 21 |
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| 23 |
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| 25 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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checkpoint-3500/tokenizer.json
ADDED
|
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checkpoint-3500/tokenizer.model
ADDED
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checkpoint-3500/tokenizer_config.json
ADDED
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checkpoint-3500/trainer_state.json
ADDED
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checkpoint-3500/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
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