初始化项目，由ModelHub XC社区提供模型
Model: keerthanshetty/resume-skill-extractor-merged Source: Original Platform
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ModelHub XC
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README.md
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README.md
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---
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datasets:
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- k10shetty/resume-skill-extractor-dataset
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base_model: meta-llama/Meta-Llama-3-8B-Instruct
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library_name: transformers
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tags:
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- text-generation
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- fine-tuning
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- llama-3
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- nlp
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- resume-parsing
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- job-description
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license: llama3
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language:
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- en
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---
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# 🚀 Resume Skill Extractor (Llama 3 8B)
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## Model Overview
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This is a fully merged, standalone 8-Billion parameter language model specifically fine-tuned to act as an expert technical recruiter. It takes raw, unstructured job descriptions and instantly extracts a concise summary along with a cleanly formatted, bulleted list of mandatory and bonus technical skills.
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This model was created by fine-tuning `Meta-Llama-3-8B-Instruct` using QLoRA, and the resulting adapters have been permanently merged into the base weights for simplified deployment and serverless inference.
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* **Base Model:** Meta-Llama-3-8B-Instruct
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* **Original LoRA Adapters:** [k10shetty/resume-skill-extractor-lora](https://huggingface.co/k10shetty/resume-skill-extractor-lora)
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* **Task:** Information Extraction / Text Generation
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* **Architecture:** LlamaForCausalLM (16-bit bfloat16)
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## Prompt Format
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This model retains the standard Llama 3 Instruct prompt format. To get the best results, you **must** use this exact structure:
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```text
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<|begin_of_text|><|start_header_id|>system<|end_header_id|>
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You are an expert technical recruiter. Analyze job descriptions and extract key information.<|eot_id|>
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<|start_header_id|>user<|end_header_id|>
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Analyze this job description and provide a summary, the required skills, and the bonus/nice-to-have skills:
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[INSERT JOB DESCRIPTION HERE]<|eot_id|>
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<|start_header_id|>assistant<|end_header_id|>
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chat_template.jinja
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chat_template.jinja
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{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>
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'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>
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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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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 128000,
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"dtype": "bfloat16",
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"eos_token_id": 128009,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 8192,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"pad_token_id": null,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_parameters": {
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"rope_theta": 500000.0,
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"rope_type": "default"
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},
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"tie_word_embeddings": false,
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"transformers_version": "5.5.4",
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"use_cache": true,
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"vocab_size": 128256
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}
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{
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"do_sample": true,
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],
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"max_length": 4096,
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"temperature": 0.6,
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"top_p": 0.9,
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"transformers_version": "5.5.4"
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}
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"model.layers.9.mlp.gate_proj.weight": "model-00004-of-00009.safetensors",
|
||||
"model.layers.9.mlp.up_proj.weight": "model-00004-of-00009.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00004-of-00009.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00004-of-00009.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00004-of-00009.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00004-of-00009.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00004-of-00009.safetensors",
|
||||
"model.norm.weight": "model-00009-of-00009.safetensors"
|
||||
}
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:3c5cf44023714fb39b05e71e425f8d7b92805ff73f7988b083b8c87f0bf87393
|
||||
size 17209961
|
||||
13
tokenizer_config.json
Normal file
13
tokenizer_config.json
Normal file
@@ -0,0 +1,13 @@
|
||||
{
|
||||
"backend": "tokenizers",
|
||||
"bos_token": "<|begin_of_text|>",
|
||||
"clean_up_tokenization_spaces": true,
|
||||
"eos_token": "<|eot_id|>",
|
||||
"is_local": false,
|
||||
"model_input_names": [
|
||||
"input_ids",
|
||||
"attention_mask"
|
||||
],
|
||||
"model_max_length": 1000000000000000019884624838656,
|
||||
"tokenizer_class": "TokenizersBackend"
|
||||
}
|
||||
Reference in New Issue
Block a user