Holo-3.1-4B-Coder / README.md
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---
base_model: Hcompany/Holo-3.1-4B
library_name: transformers
pipeline_tag: text-generation
tags:
- coding
- merged
- safetensors
- python
---
# Holo-3.1-4B Coding Merged Model
## Overview
This repository contains a merged Transformers checkpoint produced from `Hcompany/Holo-3.1-4B` and the companion coding LoRA adapter. It is intended for users who prefer loading a standard merged model rather than applying a PEFT adapter at runtime.
## What Is Included
- Merged model weights in sharded `safetensors` format.
- Model configuration and generation configuration.
- Tokenizer and chat template files.
- A model card summarizing the measured coding adaptation result.
## Training And Evaluation Summary
The underlying adapter was trained with supervised fine-tuning on curated coding instruction data. Evaluation used an 80-task held-out greedy decoding probe drawn from HumanEval-style and MBPP-style tasks.
Measured result on the held-out probe:
- Base model: 24 / 80 tasks passed.
- Adapted model: 31 / 80 tasks passed.
- Relative lift over the measured base result: 29.17%.
The merged model should match the adapter-applied behavior, subject to normal numerical and runtime differences.
## Intended Use
Use this checkpoint for coding assistance experiments, Python function generation, lightweight algorithmic problem solving, and local inference workflows that expect standard Transformers model files.
## Known Limitations
- The evaluation probe is small and does not cover all programming languages or repository-scale workflows.
- The model can produce incorrect code, incomplete reasoning, or solutions that fail edge cases.
- Generated code should be reviewed, tested, and sandboxed where appropriate.
- The checkpoint inherits limitations and licensing terms from the base model and adaptation data sources.
## File List
- `model-00001-of-00009.safetensors` through `model-00009-of-00009.safetensors`: merged model shards.
- `model.safetensors.index.json`: shard index.
- `config.json`, `generation_config.json`: model configuration files.
- `tokenizer.json`, `tokenizer_config.json`, `chat_template.jinja`: tokenizer/chat assets.
- `README.md`: this model card.
## Reproducibility And Provenance
The model was produced by merging a PEFT LoRA coding adapter into `Hcompany/Holo-3.1-4B` and saving the result as sharded `safetensors`. Companion evaluation and training provenance artifacts are available in the LoRA repository.
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## Evidence files
Run evidence for this release is stored in the repository under `evidence/`:
- [`evidence/holo_4b_repair38_merge_cpu_out_v3_merge_summary.json`](./evidence/holo_4b_repair38_merge_cpu_out_v3_merge_summary.json)
- [`evidence/holo_4b_repair38_merge_cpu_out_v3_holo_4b_repair38_adapter_release_summary.json`](./evidence/holo_4b_repair38_merge_cpu_out_v3_holo_4b_repair38_adapter_release_summary.json)
These files are compact local/Kaggle run artifacts used to document training, evaluation, merge, or quantization evidence for this model family.
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