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Ntp Mathlib St Deepseek Coder 1.3B by l3lab

 »  All LLMs  »  l3lab  »  Ntp Mathlib St Deepseek Coder 1.3B   URL Share it on

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  Arxiv:2408.03350   Autotrain compatible   Codegen   Endpoints compatible   Llama   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/l3lab/ntp-mathlib-st-deepseek-coder-1.3b 

Ntp Mathlib St Deepseek Coder 1.3B Benchmarks

LLME Score: 0.15895
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Ntp Mathlib St Deepseek Coder 1.3B Parameters and Internals

Training Details 
Data Sources:
ntp-mathlib-instruct-st
Methodology:
Finetuned for Lean 4 tactic prediction given proof states
Input Output 
Input Format:
Example input: /- You are proving a theorem in Lean 4. You are given the following information: - The current proof state, inside [STATE]...[/STATE] Your task is to generate the next tactic in the proof. Put the next tactic inside [TAC]...[/TAC] -/ [STATE] m n : ℕ h : Nat.Coprime m n ⊢ Nat.gcd m n = 1 [/STATE] [TAC]
Output Format:
Example output: rw [Nat.Coprime] at h [/TAC]
LLM NameNtp Mathlib St Deepseek Coder 1.3B
Repository 🤗https://huggingface.co/l3lab/ntp-mathlib-st-deepseek-coder-1.3b 
Model Size1.3b
Required VRAM2.7 GB
Updated2025-06-09
Maintainerl3lab
Model Typellama
Model Files  2.7 GB
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length16384
Model Max Length16384
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<pad>
Vocabulary Size32256
Torch Data Typebfloat16
Ntp Mathlib St Deepseek Coder 1.3B (l3lab/ntp-mathlib-st-deepseek-coder-1.3b)

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Note: green Score (e.g. "73.2") means that the model is better than l3lab/ntp-mathlib-st-deepseek-coder-1.3b.

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