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Model: reallexi/lexi-rm-agent Source: Original Platform
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.gitattributes
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NOTICE
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NOTICE
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Copyright (c) 2026 Reallexi LLC. All rights reserved.
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This standalone model was produced by Reallexi LLC AI Model Builder.
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Core backlink: https://llm.reallexi.io
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The upstream base model and training datasets retain their own licenses and terms.
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README.md
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README.md
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---
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license: other
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license_name: "inherits-base-model-and-dataset-terms"
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base_model: "Qwen/Qwen2.5-0.5B-Instruct"
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library_name: transformers
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pipeline_tag: "text-generation"
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tags:
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- "ai-model-builder"
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- "fine-tuned"
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- reallexi
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- slm
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- "text-generation"
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---
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# reallexi/lexi-rm-agent
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A standalone model of 495M parameters, derived from [`Qwen/Qwen2.5-0.5B-Instruct`](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct).
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The adapter has been merged into the base weights, so no PEFT adapter is needed at runtime.
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## Size and requirements
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| | |
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|---|---|
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| Parameters | 495,114,112 (495M) |
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| Weights on disk | 953 MB |
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| Trained context length | 512 tokens |
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| Base model | `Qwen/Qwen2.5-0.5B-Instruct` |
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Approximate memory to hold the weights. Add context and runtime overhead on top.
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| Precision | Weights |
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|---|---|
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| FP16 / BF16 | 944 MB |
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| 8-bit (Q8_0) | 472 MB |
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| 4-bit (Q4_K_M) | 260 MB |
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## Training
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| | |
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|---|---|
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| Strategy | slm |
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| Adapter | Auto LoRA |
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| LoRA rank / alpha | 8 / 16 |
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| Dataset | `bitext/Bitext-customer-support-llm-chatbot-training-dataset` |
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| Samples learned | 100,000 (through phase 382 of 382) |
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| Training steps | 1,250 |
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| Epochs | 5 |
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## Usage
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model = AutoModelForCausalLM.from_pretrained("reallexi/lexi-rm-agent")
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tokenizer = AutoTokenizer.from_pretrained("reallexi/lexi-rm-agent")
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```
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## License and attribution
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The effective terms are inherited from the base model and the training data, which are not necessarily the same as this project's own license. Review both before redistributing.
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- Base model: [`Qwen/Qwen2.5-0.5B-Instruct`](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct)
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- Training data: `bitext/Bitext-customer-support-llm-chatbot-training-dataset`
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Copyright (c) 2026 Reallexi LLC. All rights reserved.
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Produced by Reallexi LLC AI Model Builder from training job #1272.
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Core: https://llm.reallexi.io
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chat_template.jinja
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chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0]['role'] == 'system' %}
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{{- messages[0]['content'] }}
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{%- else %}
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{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
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{%- endif %}
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{{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
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{%- else %}
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{%- if messages[0]['role'] == 'system' %}
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{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
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{%- else %}
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{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- for message in messages %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
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{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{{- '<|im_start|>' + message.role }}
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{%- if message.content %}
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{{- '\n' + message.content }}
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{%- endif %}
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{%- for tool_call in message.tool_calls %}
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{%- if tool_call.function is defined %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{{- '\n<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{{- tool_call.arguments | tojson }}
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{{- '}\n</tool_call>' }}
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{%- endfor %}
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{{- '<|im_end|>\n' }}
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{%- elif message.role == "tool" %}
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{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
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{{- '<|im_start|>user' }}
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{{- '<|im_end|>\n' }}
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{%- if add_generation_prompt %}
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{{- '<|im_start|>assistant\n' }}
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{%- endif %}
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config.json
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config.json
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{
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"architectures": [
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"Qwen2ForCausalLM"
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],
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"layer_types": [
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"model_type": "qwen2",
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}
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generation_config.json
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generation_config.json
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model.safetensors
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model.safetensors
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reallexi-job-519-f16.gguf
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reallexi-job-519-f16.gguf
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reallexi-job-519-q8_0.gguf
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reallexi-model.json
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reallexi-model.json
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{
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"schema_version": 1,
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"job_id": 1272,
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"model_name": "Lexi Resume",
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"artifact_type": "standalone_model",
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"adapter_applied": true,
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"owner": "Reallexi LLC",
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"copyright": "Copyright (c) 2026 Reallexi LLC. All rights reserved.",
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"core_backlink": "https://llm.reallexi.io",
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"created_at": "2026-07-22T15:04:25+00:00"
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}
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3
tokenizer.json
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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tokenizer_config.json
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tokenizer_config.json
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}
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