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Model: tirumalaseti/slm-125m-base
Source: Original Platform

README.md

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+---
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+  - text-generation
+  - causal-lm
+  - llama
+  - legal
+  - finance
+  - modal
+---
+
+# tirumalaseti/slm-125m-base
+
+This is a **125M-parameter base completion model** trained from scratch on a legal/financial-heavy corpus. It is **not a chatbot**: it was optimized for next-token prediction and works best when prompted with the opening of a sentence or paragraph to continue.
+
+## Model summary
+
+- **Trainable parameters:** 125,847,552 (~125.848M)
+- **Architecture:** 12-layer Llama-style decoder, 768 hidden size, 12 attention heads
+- **Context length:** 1,024 tokens
+- **Tokenizer:** 16,384-token byte-level BPE
+- **Training tokens seen:** 2,500,329,472
+- **Optimizer steps:** 4,769
+- **Completed epochs over the packed train set:** 1.23
+- **Final validation loss:** 2.3035
+- **Final validation perplexity:** 10.01
+- **Reported spend:** $0.00
+
+## Training corpus
+
+The packed corpus used for pretraining contains 2,059,674,624 total tokens:
+
+- **Train:** 2,039,072,768
+- **Validation:** 20,601,856
+
+Realized source mix:
+
+- **US case law:** 722,081,792 tokens (35.1%)
+- **SEC filings:** 868,714,496 tokens (42.2%)
+- **Educational web text:** 468,878,336 tokens (22.8%)
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_id = "tirumalaseti/slm-125m-base"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id)
+
+prompt = "The plaintiff respectfully moves this Court to"
+inputs = tokenizer(prompt, return_tensors="pt")
+outputs = model.generate(**inputs, max_new_tokens=96, temperature=0.8, top_p=0.95)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+## Notes
+
+- This is a **base model**, not an instruction-tuned assistant.
+- It is strongest at continuing legal/financial prose in-register.
+- The spend figure comes from the latest visible Modal billing report; Modal billing report may lag; this value reflects the latest locally visible report..