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Model: Raj-Maharajwala/Open-Insurance-LLM-Llama3-8B
Source: Original Platform

README.md

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+---
+language:
+- en
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+- Text Generation
+- Transformers
+- llama
+- llama-3
+- 8B
+- nvidia
+- facebook
+- meta
+- LLM
+- insurance
+- research
+- pytorch
+- instruct
+- chatqa-1.5
+- chatqa
+- finetune
+- gpt4
+- conversational
+- text-generation-inference
+datasets:
+- InsuranceQA
+
+base_model: "nvidia/Llama3-ChatQA-1.5-8B"
+finetuned: "Raj-Maharajwala/Open-Insurance-LLM-Llama3-8B"
+quantized: "Raj-Maharajwala/Open-Insurance-LLM-Llama3-8B-GGUF"
+license: llama3
+---
+
+# Open-Insurance-LLM-Llama3-8B
+
+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.
+
+## Model Details
+
+- **Model Type:** Instruction-tuned Language Model
+- **Base Model:** nvidia/Llama3-ChatQA-1.5-8B
+- **Finetuned Model:** Raj-Maharajwala/Open-Insurance-LLM-Llama3-8B
+- **Quantized Model:** Raj-Maharajwala/Open-Insurance-LLM-Llama3-8B-GGUF
+- **Model Architecture:** Llama
+- **Parameters:** 8.05 billion
+- **Developer:** Raj Maharajwala
+- **License:** llama3
+- **Language:** English
+
+### Quantized Model 
+
+Raj-Maharajwala/Open-Insurance-LLM-Llama3-8B-GGUF: https://huggingface.co/Raj-Maharajwala/Open-Insurance-LLM-Llama3-8B-GGUF
+
+## Training Data
+
+The model has been fine-tuned on the InsuranceQA dataset using LoRA (8 bit), which contains insurance-specific question-answer pairs and domain knowledge.
+trainable params: 20.97M || all params: 8.05B || trainable %: 0.26%
+```bash
+LoraConfig(
+  r=8,
+  lora_alpha=32,
+  lora_dropout=0.05,
+  bias="none",
+  task_type="CAUSAL_LM",
+  target_modules=['up_proj', 'down_proj', 'gate_proj', 'k_proj', 'q_proj', 'v_proj', 'o_proj']
+)
+```
+
+## Model Architecture
+
+The model uses the Llama 3 architecture with the following key components:
+- 8B parameter configuration
+- Enhanced attention mechanisms from Llama 3
+- ChatQA 1.5 instruction-tuning framework
+- Insurance domain-specific adaptations
+
+## Files in Repository
+
+- **Model Files:**
+  - `model-00001-of-00004.safetensors` (4.98 GB)
+  - `model-00002-of-00004.safetensors` (5 GB)
+  - `model-00003-of-00004.safetensors` (4.92 GB)
+  - `model-00004-of-00004.safetensors` (1.17 GB)
+  - `model.safetensors.index.json` (24 kB)
+
+- **Tokenizer Files:**
+  - `tokenizer.json` (17.2 MB)
+  - `tokenizer_config.json` (51.3 kB)
+  - `special_tokens_map.json` (335 Bytes)
+
+- **Configuration Files:**
+  - `config.json` (738 Bytes)
+  - `generation_config.json` (143 Bytes)
+
+## Use Cases
+
+This model is specifically designed for:
+- Insurance policy understanding and explanation
+- Claims processing assistance
+- Coverage analysis
+- Insurance terminology clarification
+- Policy comparison and recommendations
+- Risk assessment queries
+- Insurance compliance questions
+
+## Limitations
+
+- The model's knowledge is limited to its training data cutoff
+- Should not be used as a replacement for professional insurance advice
+- May occasionally generate plausible-sounding but incorrect information
+
+## Bias and Ethics
+
+This model should be used with awareness that:
+- It may reflect biases present in insurance industry training data
+- Output should be verified by insurance professionals for critical decisions
+- It should not be used as the sole basis for insurance decisions
+- The model's responses should be treated as informational, not as legal or professional advice
+
+## Citation and Attribution
+
+If you use this model in your research or applications, please cite:
+```
+@misc{maharajwala2024openinsurance,
+  author = {Raj Maharajwala},
+  title = {Open-Insurance-LLM-Llama3-8B},
+  year = {2024},
+  publisher = {HuggingFace},
+  url = {https://huggingface.co/Raj-Maharajwala/Open-Insurance-LLM-Llama3-8B}
+}
+```