lexi-coder-v4.4

lexi-coder-v4.4

lexi-coder-v4.4 by Reallexi LLC AI Model Builder — llm.reallexi.io

Copyright (c) 2026 Reallexi LLC. All rights reserved.

A standalone model of 3.85B parameters, derived from reallexi/lexi-coder-v4.3.

The adapter has been merged into the base weights, so no PEFT adapter is needed at runtime.

Size and requirements

Approximate memory to hold the weights. Add context and runtime overhead on top.

Training

Before / after samples

The same prompts, drawn from the training data, run through the base model before training and the finished model after. This shows what the run changed on representative prompts -- it is not a benchmark. Full outputs are in SAMPLES.md and samples.json alongside this file.

Prompt: import numpy as np N, D = map(int, input().split()) cnt = 0 for i in range(N): x, y = map(int,

• Before: input().split()) if x2 + y2 <= D**2: cnt += 1 print(cnt) # print(N, D) # print(N, D, cnt) # print(N, D, cnt, cnt) # print(N, D, cnt, cnt, cnt) # print(N, D, cnt, cnt, cnt, cnt)
• After: input().split()) if x2 + y2 <= D2: cnt += 1 print(cnt) # print(x, y) # print(np.sqrt(x2 + y2)) # print(np.sqrt(D2)) # print(np.sqrt(D2 - x2)) # print(np.sqrt(D2 - y2))

Prompt: n, d = map(int, input().split()) ans = 0 for _ in range(n): x, y = map(float, input().split()) z = (x**2

• Before: + y2)0.5 if z <= d else -1 ans += 1 print(ans) # ans = 0 for _ in range(n): x, y = map(int, input().split()) z = (x2 + y2)**0.5 if z <= d else -1 ans += 1 print(ans) # ans = 0 for
• After: + y2)0.5 if z <= d else -1 ans += 1 print(ans) # ans = 0 for _ in range(n): x, y = map(int, input().split()) z = (x2 + y2)**0.5 if z <= d else -1 ans += 1 print(ans) # ans = 0 for

Prompt: #n, m = map(int,input().split()) k = int(input()) #hl = list(map(int,input().split())) s = len(str(k)) for i in range(1,k+1): if int('7'*i) %

• Before: k == 0: print(i) break k = int(input()) n = 7 for i in range(1,k+1): if n % k == 0: print(i) break n = n*10+7 else: print(-1) #k % 7 == 0の時は-1を返す
• After: k == 0: print(i) break k = int(input()) if k % 2 == 0 or k % 5 == 0: print(-1) else: i = 1 while True: if int('7'*i) % k == 0: print(i) break i += 1 if i >

Training curve

Usage

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("lexi-coder-v4.4")
tokenizer = AutoTokenizer.from_pretrained("lexi-coder-v4.4")

License and attribution

The effective terms are inherited from the base model and the training data, which are not necessarily the same as this project's own license. Review both before redistributing.

• Base model: reallexi/lexi-coder-v4.3

• Training data: reallexi/lexi-coder-v3-datasest

Copyright (c) 2026 Reallexi LLC. All rights reserved.

Produced by Reallexi LLC AI Model Builder from training job #1996. Core: https://llm.reallexi.io

Who, where, and what platform trained this?

Produced by Reallexi LLC on Reallexi AI Model Builder, a local-first training platform (https://llm.reallexi.io). Hugging Face repository: reallexi/lexi-coder-v4.4. Copyright (c) 2026 Reallexi LLC. All rights reserved.