Text Generation
Transformers
Safetensors
PEFT
English
Chinese
qwen3_5
image-text-to-text
veriloop
veriloop-coder
code
coding-agent
software-engineering
repository-understanding
tool-use
lora
harness-engineering
evidence-binding
rollback
uncertainty-calibration
long-context
open-weights
conversational
Instructions to use veriloop-lab/veriloop-coder-e1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use veriloop-lab/veriloop-coder-e1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="veriloop-lab/veriloop-coder-e1") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] pipe(text=messages)# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("veriloop-lab/veriloop-coder-e1") model = AutoModelForImageTextToText.from_pretrained("veriloop-lab/veriloop-coder-e1") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] inputs = processor.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - PEFT
How to use veriloop-lab/veriloop-coder-e1 with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use veriloop-lab/veriloop-coder-e1 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "veriloop-lab/veriloop-coder-e1" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "veriloop-lab/veriloop-coder-e1", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/veriloop-lab/veriloop-coder-e1
- SGLang
How to use veriloop-lab/veriloop-coder-e1 with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "veriloop-lab/veriloop-coder-e1" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "veriloop-lab/veriloop-coder-e1", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "veriloop-lab/veriloop-coder-e1" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "veriloop-lab/veriloop-coder-e1", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use veriloop-lab/veriloop-coder-e1 with Docker Model Runner:
docker model run hf.co/veriloop-lab/veriloop-coder-e1
| license: other | |
| language: | |
| - en | |
| pipeline_tag: text-generation | |
| tags: | |
| - code | |
| - coding-agent | |
| - software-engineering | |
| - harness-engineering | |
| - weight-agnostic | |
| - veriloop | |
| pretty_name: VeriLoop Coder E1 | |
| library_name: transformers | |
| # VeriLoop Coder E1 | |
| **VeriLoop Coder E1** is a coding model program designed for real-world software engineering tasks, repository-scale problem solving, and benchmark-oriented code generation workflows. | |
| Rather than being tied to a single fixed checkpoint, VeriLoop Coder E1 is built as a **weight-agnostic coding system**: it is designed to continuously improve as stronger open-weight foundations become available. Its core goal is straightforward: | |
| - deliver stronger coding performance than the underlying base model, | |
| - scale from local development to evaluation-heavy engineering workflows, | |
| - remain adaptable across different open-weight backbones, | |
| - and provide a stable path toward increasingly capable front-end programming applications. | |
| VeriLoop Coder E1 is intended for developers, researchers, and product teams who need a coding system that can do more than produce snippets. It is designed to support complete engineering loops such as repository understanding, scoped editing, patch generation, validation-aware iteration, and task-oriented development. | |
| > **Positioning** | |
| > VeriLoop Coder E1 is built to compete with frontier-style coding assistants and to push beyond strong open coding baselines through continual harness upgrades, better workflow alignment, and more robust engineering execution. | |
| --- | |
| ## Highlights | |
| - **Repository-aware coding** | |
| - Designed for multi-file projects, codebases with existing structure, and engineering tasks that require context beyond a single prompt. | |
| - **Task-oriented software work** | |
| - Supports bug fixing, feature implementation, refactoring, code completion, test-oriented revision, and structured patch generation. | |
| - **Weight-agnostic evolution** | |
| - The system is not bound to one permanent weight release. As stronger open models emerge, VeriLoop Coder E1 is intended to inherit stronger foundations while preserving the same product direction. | |
| - **Harness-first performance strategy** | |
| - Emphasizes system-level coding performance, workflow consistency, and practical execution quality rather than relying only on model size. | |
| - **Built for iterative engineering** | |
| - Intended to work well in repeated development loops: inspect, modify, validate, revise, and complete. | |
| - **Practical deployment flexibility** | |
| - Suitable for local development, private infrastructure, evaluation pipelines, and future productized programming applications. | |
| --- | |
| ## What VeriLoop Coder E1 Can Do | |
| ### 1. Repository Understanding | |
| VeriLoop Coder E1 is designed to work at the repository level rather than only at the single-file level. It can be used to: | |
| - inspect project structure, | |
| - identify relevant files for a task, | |
| - follow dependencies across modules, | |
| - trace implementation paths, | |
| - and narrow work to the most relevant regions of a codebase. | |
| This makes it suitable for engineering tasks where the answer depends on how a repository is actually organized, not just on generic programming knowledge. | |
| ### 2. Code Generation and Editing | |
| VeriLoop Coder E1 is designed for: | |
| - generating new code from natural language requirements, | |
| - editing existing code with scoped changes, | |
| - implementing new functions or modules, | |
| - updating interfaces and internal logic, | |
| - and producing patches that fit an existing repository style. | |
| Its intended behavior is not merely to “write code,” but to support code changes that are better aligned with the target project. | |
| ### 3. Bug Fixing and Debug Support | |
| The system is suitable for issue-driven development workflows, including: | |
| - locating likely sources of failure, | |
| - proposing corrective edits, | |
| - narrowing down error-prone code paths, | |
| - revising earlier patches, | |
| - and helping complete fix-and-verify cycles. | |
| It is especially useful where users want assistance with actionable debugging work rather than only explanations. | |
| ### 4. Refactoring and Codebase Maintenance | |
| VeriLoop Coder E1 is intended to support: | |
| - function and class cleanup, | |
| - repeated-pattern reduction, | |
| - naming and structure improvement, | |
| - interface consistency updates, | |
| - and maintenance work across related files. | |
| This makes it useful for engineering teams that want help with code quality work, not only greenfield generation. | |
| ### 5. Test-Oriented Development Workflows | |
| The system is designed to contribute to development flows where testing matters. It can support: | |
| - generating test candidates, | |
| - revising code after failed checks, | |
| - improving implementation to meet expected behavior, | |
| - and iterating toward completion under validation pressure. | |
| This makes it more suitable for engineering environments than models optimized purely for chat-style coding help. | |
| ### 6. Patch-Centric Delivery | |
| VeriLoop Coder E1 is intended to support patch-style outputs for practical software work. It can be used in settings where users need: | |
| - focused edits instead of long essays, | |
| - repository-consistent changes, | |
| - smaller and more deliberate revisions, | |
| - and outputs that are easier to inspect, review, and apply. | |
| ### 7. Long-Horizon Task Support | |
| The model program is designed for multi-step software tasks that may require: | |
| - staged planning, | |
| - repeated tool use, | |
| - revision after intermediate outcomes, | |
| - and continuity across a longer engineering loop. | |
| This makes it more suitable for practical coding sessions than one-turn code generation setups. | |
| --- | |
| ## Core Product Capabilities | |
| ### A. Coding Assistant for Real Development | |
| VeriLoop Coder E1 is intended to function as a professional coding assistant for: | |
| - application development, | |
| - backend services, | |
| - frontend iteration, | |
| - repository maintenance, | |
| - scripting and automation, | |
| - and software engineering support inside real projects. | |
| ### B. Evaluation-Oriented Coding System | |
| The system is built with benchmark-facing goals in mind. It is intended to perform well in settings that reward: | |
| - correctness, | |
| - repository reasoning, | |
| - patch quality, | |
| - revision discipline, | |
| - and stable completion behavior. | |
| ### C. Foundation for a Front-End Programming Product | |
| VeriLoop Coder E1 is also intended to serve as the model backbone for a future programming application focused on interactive development workflows. The product direction is to deliver a coding experience that can stand alongside leading AI programming tools while remaining compatible with open-weight progress. | |
| ### D. Reusable Coding Layer Across Backbone Upgrades | |
| A key feature of VeriLoop Coder E1 is continuity across weight upgrades. The product direction is not tied to a single model generation. Instead, the coding layer is designed to remain reusable as new open-weight systems improve. | |
| --- | |
| ## Why This Model Exists | |
| Many coding systems are either: | |
| - strong at raw generation but weak at repository-grounded engineering work, | |
| - tied too tightly to a single weight release, | |
| - or difficult to carry forward as the open-weight landscape changes. | |
| VeriLoop Coder E1 exists to provide a more durable path: | |
| - a stable coding product direction, | |
| - a reusable engineering workflow layer, | |
| - and a model program that can keep improving as the open ecosystem advances. | |
| The goal is not simply to release one checkpoint. The goal is to build a coding system that becomes stronger over time without losing its identity. | |
| --- | |
| ## Harness Engineering Focus | |
| VeriLoop Coder E1 places strong emphasis on **Harness Engineering** as a product capability. | |
| In practical terms, this means the system is intended to work well inside disciplined coding workflows, including: | |
| - structured repository inspection, | |
| - controlled code modification, | |
| - validation-aware iteration, | |
| - multi-step completion, | |
| - and consistent developer-facing behavior across different base weights. | |
| For users and teams, the effect is that VeriLoop Coder E1 is designed to remain useful even as the underlying open-weight model changes. The coding experience is meant to become stronger through system improvement, not only through swapping in a larger checkpoint. | |
| This is one of the defining characteristics of the VeriLoop Coder line: | |
| **the model family is designed to improve with the open-weight frontier rather than freeze around a single permanent base model.** | |
| --- | |
| ## Intended Use | |
| VeriLoop Coder E1 is intended for: | |
| - software engineering assistance, | |
| - repository-scale coding tasks, | |
| - code generation and modification, | |
| - benchmark-oriented coding evaluation, | |
| - developer workflow augmentation, | |
| - research on open-weight coding systems, | |
| - and future product deployment in programming tools. | |
| Typical scenarios include: | |
| - fixing issues in an existing repository, | |
| - implementing requested functionality, | |
| - proposing code changes under project constraints, | |
| - generating or refining tests, | |
| - reviewing and improving patch candidates, | |
| - and supporting repeated engineering loops over time. | |
| --- | |
| ## Out-of-Scope Use | |
| VeriLoop Coder E1 is **not** intended as: | |
| - a guarantee of correct code without review, | |
| - a replacement for secure software practices, | |
| - a substitute for human approval in high-stakes production environments, | |
| - or a universal reasoning system for non-coding tasks. | |
| It should be treated as a coding system that assists software work, not as an autonomous authority. | |
| --- | |
| ## Current Strength Profile | |
| VeriLoop Coder E1 is particularly oriented toward the following strengths: | |
| - repository-aware engineering workflows, | |
| - task-focused code modification, | |
| - revision after intermediate feedback, | |
| - stable coding assistance across changing weights, | |
| - and practical software delivery behavior over one-shot demo behavior. | |
| The project is especially relevant for users who care about **engineering usefulness**, **benchmark performance**, and **long-term upgradeability**. | |
| --- | |
| ## Limitations | |
| As with other open-weight coding systems, performance may vary depending on: | |
| - the chosen backbone weights, | |
| - repository complexity, | |
| - tool availability, | |
| - evaluation settings, | |
| - runtime configuration, | |
| - and task type. | |
| Users should expect stronger performance in structured software tasks than in unconstrained claims about arbitrary domains. All outputs should still be reviewed before production use. | |
| VeriLoop Coder E1 is also an evolving model line. Specific performance characteristics may change as stronger open-weight foundations and improved engineering workflows are incorporated. | |
| --- | |
| ## Model Evolution | |
| VeriLoop Coder E1 is part of a broader long-term model direction. | |
| The product philosophy is simple: | |
| - keep the coding identity stable, | |
| - keep the engineering workflow strong, | |
| - and keep upgrading the model family as better open weights become available. | |
| This means future releases may differ in backbone choice, scaling strategy, and deployment profile while preserving the same core mission: | |
| **to become a stronger, more practical, and more competitive open coding system over time.** | |
| --- | |
| ## Release Philosophy | |
| VeriLoop Coder E1 should be understood as an evolving coding platform rather than a one-off model drop. | |
| The release philosophy emphasizes: | |
| - forward compatibility with stronger open-weight backbones, | |
| - continuity of developer experience, | |
| - practical software engineering capability, | |
| - and continuous improvement toward frontier-level coding performance. | |
| --- | |
| ## Recommended Presentation on the Hub | |
| For best clarity, present this repository as: | |
| - a **coding model system**, | |
| - a **weight-agnostic open coding program**, | |
| - and the **first generation of the VeriLoop Coder line**. | |
| A concise positioning line for public-facing surfaces can be: | |
| > **VeriLoop Coder E1 is a weight-agnostic coding model system built for repository-scale software engineering, benchmark-oriented performance, and continual improvement across open-weight generations.** | |
| --- | |
| ## Notes | |
| - Weight choice is not permanently fixed. | |
| - Product capability is expected to strengthen as stronger open-weight backbones appear. | |
| - Public-facing documentation focuses on capabilities and use cases, not internal implementation details. | |
| - Users should evaluate the specific released checkpoint and runtime configuration for their deployment needs. | |