ExLlamaV2
turboderp (community)
Open sourceProduct status: Historical record
The original ExLlamaV2 README marks this project archived for now and points development to ExLlamaV3. This record concerns V2 maintenance; existing installations, forks and third-party servers were not tested and are not declared unusable. V3 is a separate generation, with no automatic compatibility guarantee. This page preserves a historical product record. It is excluded from current recommendations. The descriptions, features, screenshots and editorial opinions below describe its historical offering, not a service available to buy or use now.
- Hosted service:
- Not confirmed
- Source code:
- Archived repository; hosted availability is separate
Status source checked: · Status source
ExLlamaV2 — Historical record. The original ExLlamaV2 README marks this project archived for now and points development to ExLlamaV3. This record concerns V2 maintenance; existing installations, forks and third-party servers were not tested and are not declared unusable. V3 is a separate generation, with no automatic compatibility guarantee.
Historical product information
Product preview
Decision notes
This page preserves a historical product record. It is excluded from current recommendations. The descriptions, features, screenshots and editorial opinions below describe its historical offering, not a service available to buy or use now.
Official-document research
Based on the cited documentation. We did not use the product, purchase a plan, or run quality, speed or reliability tests in this review.
Consider it for
- Developers able to maintain a compatible local GPU stack and clear model rights
Choose another approach if
- Assuming active V2 development or current TabbyAPI compatibility
- Users expecting a turnkey hosted service or free hardware
Pricing and conditions
Documented terms
MIT grants the V2 code without a licence fee and permits selling copies with notices; it is not a cloud or hardware quote. GPU/CPU, memory, storage, electricity, engineering, network hosting and chosen model/API costs are separate. There is no verified universal hosted currency, tax, region, billing period, allowance or overage. Archived status does not guarantee support or compatible future dependencies.
Pricing source read:
Pricing or terms sourceCode, model and service licensing
V2's MIT licence permits commercial use, modification and redistribution with copyright/permission notices and no warranty. It covers V2 code, not every quantized checkpoint, base model, dataset, output or dependency. TabbyAPI is separate AGPL-3.0 code; a modified network version must offer corresponding source to remote users, and its current V3 scope must be checked. Local inference does not prove all downloads, tools, logs or remote servers retain nothing or send no data. Review the actual model licence, application data path and operator terms.
Basis and limits of the recorded score
Original 4.5/5 retained; its original scoring worksheet and hands-on evidence are unavailable. This documentation review did not re-score it.
Overview
ExLlamaV2 runs supported language models on local consumer GPUs with EXL2 or 4-bit GPTQ paths, dynamic batching and cache controls. Its README now says the project is archived for now and development continues in ExLlamaV3; that does not make V3's formats and features part of V2.
Check the exact model format, PyTorch/CUDA version and compiled extension ABI. The V2 README links TabbyAPI, but current TabbyAPI main describes a V3 backend and hobby rather than production operation; select compatible historical versions instead of assuming current main is a V2 drop-in. Hardware needs, quality and throughput were not measured.
Sources
The factual claims in this review were read from the pages below. Each date is when an editor last opened the source, not when the product changed.
- Vendor documentation Checked 2026-10-15
- Third-party report Checked 2026-10-15
- Vendor documentation Checked 2026-10-15
- Vendor documentation Checked 2026-10-15
- Third-party report Checked 2026-10-15
Pros / Cons
Pros
- MIT-licensed local inference code
- Documented quantization and batching controls
Cons
- V2 is archived and needs version maintenance
- Model rights, GPU capacity and server compatibility remain separate
Who it's for
Maintaining an existing compatible V2 deployment
Studying EXL2 quantization and local inference
Bottom line
Treat V2 as an archived library for an explicitly pinned stack, not a promise of current V3 or server compatibility.
Historical features
Tags
Frequently asked questions
Is ExLlamaV2 currently available?
The original ExLlamaV2 README marks this project archived for now and points development to ExLlamaV3. This record concerns V2 maintenance; existing installations, forks and third-party servers were not tested and are not declared unusable. V3 is a separate generation, with no automatic compatibility guarantee. This page preserves a historical product record. It is excluded from current recommendations. The descriptions, features, screenshots and editorial opinions below describe its historical offering, not a service available to buy or use now.
What is ExLlamaV2?
Historical product information: An archived local GPU inference and EXL2/GPTQ quantization library; development continues in the separate ExLlamaV3 project. This page preserves a historical product record. It is excluded from current recommendations. The descriptions, features, screenshots and editorial opinions below describe its historical offering, not a service available to buy or use now.
What costs and terms should I check for ExLlamaV2?
The directory records Free as the historical pricing model for ExLlamaV2, without a recorded pricing check date. It is not a current price, free tier or purchasable offer. Refer to the status source for the closure or historical context. MIT grants the V2 code without a licence fee and permits selling copies with notices; it is not a cloud or hardware quote. GPU/CPU, memory, storage, electricity, engineering, network hosting and chosen model/API costs are separate. There is no verified universal hosted currency, tax, region, billing period, allowance or overage. Archived status does not guarantee support or compatible future dependencies.
Is ExLlamaV2 open source?
A source-code link is a historical or repository reference. It does not mean the former hosted service is available, maintained or ready to run. Check the repository status and license separately. V2's MIT licence permits commercial use, modification and redistribution with copyright/permission notices and no warranty. It covers V2 code, not every quantized checkpoint, base model, dataset, output or dependency. TabbyAPI is separate AGPL-3.0 code; a modified network version must offer corresponding source to remote users, and its current V3 scope must be checked. Local inference does not prove all downloads, tools, logs or remote servers retain nothing or send no data. Review the actual model licence, application data path and operator terms.
What are the best alternatives to ExLlamaV2?
Notable AI Platforms alternatives include Hugging Face, Replicate, Ollama. Browse all 138 tools in our AI Platforms category for a full overview.
Was this listing useful?
Basic Info
- Historical pricing model
- Free
The historical pricing check date is not recorded; this is not a current offer.
MIT grants the V2 code without a licence fee and permits selling copies with notices; it is not a cloud or hardware quote. GPU/CPU, memory, storage, electricity, engineering, network hosting and chosen model/API costs are separate. There is no verified universal hosted currency, tax, region, billing period, allowance or overage. Archived status does not guarantee support or compatible future dependencies.
- Historical editorial score
- 4.5 / 5 How we score
- Platforms
- PythonLocal GPU
- Last verified
- Not recorded
