Clinical Field Mapper Causal Lm is an open-source language model by tsilva. Features: 120.5m LLM, VRAM: 0.2GB, License: apache-2.0, LLM Explorer Score: 0.19.
Autotrain compatible Column-normalization Distilgpt2 Endpoints compatible Gpt2 Healthcare Model-index Onnx Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/tsilva/clinical-field-mapper-causal_lm
Clinical Field Mapper Causal Lm Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Clinical Field Mapper Causal Lm Parameters and Internals
| LLM Name | Clinical Field Mapper Causal Lm |
| Repository 🤗 | https://huggingface.co/tsilva/clinical-field-mapper-causal_lm |
| Model Size | 120.5m |
| Required VRAM | 0.2 GB |
| Updated | 2025-09-19 |
| Maintainer | tsilva |
| Model Type | gpt2 |
| Model Files | |
| Model Architecture | GPT2LMHeadModel |
| License | apache-2.0 |
| Model Max Length | 1024 |
| Transformers Version | 4.51.3 |
| Tokenizer Class | GPT2Tokenizer |
| Padding Token | <|pad|> |
| Vocabulary Size | 50258 |
| Torch Data Type | float16 |
| Activation Function | gelu_new |
Rank the Clinical Field Mapper Causal Lm Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a