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Model: Raj-Maharajwala/Open-Insurance-LLM-Llama3-8B Source: Original Platform
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README.md
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---
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language:
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- en
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library_name: transformers
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pipeline_tag: text-generation
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tags:
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- Text Generation
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- Transformers
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- llama
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- llama-3
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- 8B
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- nvidia
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- facebook
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- meta
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- LLM
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- insurance
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- research
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- pytorch
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- instruct
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- chatqa-1.5
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- chatqa
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- finetune
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- gpt4
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- conversational
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- text-generation-inference
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datasets:
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- InsuranceQA
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base_model: "nvidia/Llama3-ChatQA-1.5-8B"
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finetuned: "Raj-Maharajwala/Open-Insurance-LLM-Llama3-8B"
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quantized: "Raj-Maharajwala/Open-Insurance-LLM-Llama3-8B-GGUF"
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license: llama3
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---
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# Open-Insurance-LLM-Llama3-8B
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This model is a domain-specific language model based on Nvidia Llama 3 ChatQA, fine-tuned for insurance-related queries and conversations. It leverages the architecture of Llama 3 and is specifically trained to handle insurance domain tasks.
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## Model Details
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- **Model Type:** Instruction-tuned Language Model
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- **Base Model:** nvidia/Llama3-ChatQA-1.5-8B
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- **Finetuned Model:** Raj-Maharajwala/Open-Insurance-LLM-Llama3-8B
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- **Quantized Model:** Raj-Maharajwala/Open-Insurance-LLM-Llama3-8B-GGUF
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- **Model Architecture:** Llama
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- **Parameters:** 8.05 billion
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- **Developer:** Raj Maharajwala
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- **License:** llama3
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- **Language:** English
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### Quantized Model
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Raj-Maharajwala/Open-Insurance-LLM-Llama3-8B-GGUF: https://huggingface.co/Raj-Maharajwala/Open-Insurance-LLM-Llama3-8B-GGUF
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## Training Data
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The model has been fine-tuned on the InsuranceQA dataset using LoRA (8 bit), which contains insurance-specific question-answer pairs and domain knowledge.
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trainable params: 20.97M || all params: 8.05B || trainable %: 0.26%
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```bash
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LoraConfig(
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r=8,
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lora_alpha=32,
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lora_dropout=0.05,
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bias="none",
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task_type="CAUSAL_LM",
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target_modules=['up_proj', 'down_proj', 'gate_proj', 'k_proj', 'q_proj', 'v_proj', 'o_proj']
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)
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```
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## Model Architecture
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The model uses the Llama 3 architecture with the following key components:
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- 8B parameter configuration
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- Enhanced attention mechanisms from Llama 3
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- ChatQA 1.5 instruction-tuning framework
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- Insurance domain-specific adaptations
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## Files in Repository
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- **Model Files:**
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- `model-00001-of-00004.safetensors` (4.98 GB)
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- `model-00002-of-00004.safetensors` (5 GB)
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- `model-00003-of-00004.safetensors` (4.92 GB)
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- `model-00004-of-00004.safetensors` (1.17 GB)
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- `model.safetensors.index.json` (24 kB)
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- **Tokenizer Files:**
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- `tokenizer.json` (17.2 MB)
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- `tokenizer_config.json` (51.3 kB)
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- `special_tokens_map.json` (335 Bytes)
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- **Configuration Files:**
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- `config.json` (738 Bytes)
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- `generation_config.json` (143 Bytes)
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## Use Cases
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This model is specifically designed for:
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- Insurance policy understanding and explanation
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- Claims processing assistance
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- Coverage analysis
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- Insurance terminology clarification
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- Policy comparison and recommendations
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- Risk assessment queries
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- Insurance compliance questions
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## Limitations
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- The model's knowledge is limited to its training data cutoff
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- Should not be used as a replacement for professional insurance advice
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- May occasionally generate plausible-sounding but incorrect information
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## Bias and Ethics
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This model should be used with awareness that:
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- It may reflect biases present in insurance industry training data
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- Output should be verified by insurance professionals for critical decisions
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- It should not be used as the sole basis for insurance decisions
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- The model's responses should be treated as informational, not as legal or professional advice
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## Citation and Attribution
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If you use this model in your research or applications, please cite:
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```
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@misc{maharajwala2024openinsurance,
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author = {Raj Maharajwala},
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title = {Open-Insurance-LLM-Llama3-8B},
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year = {2024},
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publisher = {HuggingFace},
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url = {https://huggingface.co/Raj-Maharajwala/Open-Insurance-LLM-Llama3-8B}
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}
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```
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config.json
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"_name_or_path": "nvidia/LLama3-ChatQA-1.5-8B",
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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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"eos_token_id": 128001,
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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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"pretraining_tp": 1,
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"rope_scaling": null,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.46.3",
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"use_cache": true,
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"vocab_size": 128256
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}
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"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.norm.weight": "model-00004-of-00004.safetensors"
|
||||
}
|
||||
}
|
||||
17
special_tokens_map.json
Normal file
17
special_tokens_map.json
Normal file
@@ -0,0 +1,17 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<|begin_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<|end_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": "<|end_of_text|>"
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:01e3be37353fbc0be479c7509d53c76860b7915a6b1852d5e75ec0c92707138b
|
||||
size 17208753
|
||||
2063
tokenizer_config.json
Normal file
2063
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user