Instructions to use bcsandlund/arc-model-unsloth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bcsandlund/arc-model-unsloth with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bcsandlund/arc-model-unsloth", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use bcsandlund/arc-model-unsloth with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for bcsandlund/arc-model-unsloth to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for bcsandlund/arc-model-unsloth to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for bcsandlund/arc-model-unsloth to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="bcsandlund/arc-model-unsloth", max_seq_length=2048, )
Training in progress, step 400
Browse files- adapter_config.json +3 -3
- adapter_model.safetensors +1 -1
- chat_template.jinja +54 -0
- special_tokens_map.json +1 -1
- tokenizer_config.json +1 -1
- training_args.bin +1 -1
adapter_config.json
CHANGED
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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-
"base_model_name_or_path": "unsloth/qwen2.5-0.5b-bnb-4bit",
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"bias": "none",
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"corda_config": null,
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"eva_config": null,
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"revision": null,
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"target_modules": [
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"k_proj",
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"o_proj",
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"down_proj",
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"up_proj",
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"gate_proj",
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"q_proj",
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"
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],
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"task_type": "CAUSAL_LM",
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"trainable_token_indices": null,
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "unsloth/qwen2.5-0.5b-instruct-bnb-4bit",
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"bias": "none",
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"corda_config": null,
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"eva_config": null,
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"revision": null,
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"target_modules": [
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"k_proj",
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"down_proj",
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"up_proj",
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"gate_proj",
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"v_proj",
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"q_proj",
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"o_proj"
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],
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"task_type": "CAUSAL_LM",
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"trainable_token_indices": null,
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 35237104
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version https://git-lfs.github.com/spec/v1
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oid sha256:c0afc3b24c5f023b474d06aedbcbbec4e1e6f264d84845c0b14e33299bbc9c72
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size 35237104
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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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special_tokens_map.json
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"<|video_pad|>"
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],
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"eos_token": {
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"content": "<|
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"<|video_pad|>"
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],
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"eos_token": {
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"content": "<|im_end|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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tokenizer_config.json
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],
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"bos_token": null,
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|
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"errors": "replace",
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"extra_special_tokens": {},
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"model_max_length": 32768,
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],
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"bos_token": null,
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|im_end|>",
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"errors": "replace",
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"extra_special_tokens": {},
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"model_max_length": 32768,
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training_args.bin
CHANGED
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 6097
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:3b1582aa03f83beb84fc446d2aa5e6c733ee19bada34555fa21c7f79f3d34456
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size 6097
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