signal busAll systems operationalScrums.com x Vercel for AI engineering ↗
summaryDeploy Meta's open-weight Llama model family — self-hosted or via managed cloud endpoints — integrated, fine-tuned, and governed by Scrums.com.Priced on scope·★ 5.0·● available now·vetted by Scrums.com

agents · CAT-30030959 · rev 1.0

Llama. @llama

Agentsagent · model-providers · open-weights · self-hostedMeta● available now
5.0Reviews ▾

Rated 5.0 / 5 by clients on GoodFirms.

Read verified reviews on GoodFirms

Vetted by Scrums.com Platform

Provider Meta

Last review 2026-08-14

01

What you get

the numbers that matter
Starting price

Priced on scope

usage-based

Ready in

≈ 2 weeks

signed to first PR

Retention

96%

engagements renewed

Match

96%

to your stack & domain

Meta's open-weight Llama model family for self-hosted and managed deployment across clouds. Scrums.com delivery teams deploy, fine-tune, and govern it inside your stack on the SEOP.

02

How this operator works

every way of working, already decided
A · capability focus

Owns the system, not the ticket

Takes end-to-end ownership of a service or surface. Design, delivery, on-call. And is measured on outcomes, not hours.

B · ways of working

Embedded, async-first, instrumented

Works inside your repos, your CI and your rituals. Daily written standups, decisions logged. No status-meeting tax.

C · reliability posture

Runbooks, canaries, reversible deploys

Every change gated and reversible. Incidents get a timeline and a postmortem; nothing ships without a rollback.

D · comms & cadence

Plugged into your Slack & rituals

Joins standups and retros, reports weekly against the goal. You get an operator, not a queue.

E · tooling

Brings a pre-wired stack or adopts yours

Infrastructure and observability as code by default. No bespoke setup tax to absorb.

F · onboarding

Scoped, gated, reversible

Week-1 shadow, week-2 ownership, swap on request inside the trial window. No long-tail handover risk.

·

Overview

Llama is Meta's open-weight model family — downloadable models that organisations can run on their own infrastructure or consume through managed endpoints on the major clouds. The family spans a range of sizes and has become the default starting point for teams that want model capability under their own control.

Through Scrums.com, Llama becomes a governed part of your stack. Scrums.com delivery teams select, deploy, and integrate Llama models into your products, pipelines, and agents — with evals, guardrails, and cost and outcome tracking on the SEOP.

·

What it does

Open-weight deployment

Llama weights can be downloaded and run on your own infrastructure — on-premises or in your cloud — keeping inference fully inside your environment.

General text generation

The family covers chat, summarisation, extraction, and general language tasks at multiple model sizes, from edge-friendly to large.

Multilingual capability

Llama models handle a broad set of languages, supporting products that serve international users.

Fine-tuning and customisation

Because the weights are open, Llama can be fine-tuned and adapted on your own data for domain-specific behaviour.

·

Deploying it with Scrums.com

  1. Scope. Scrums.com assesses which Llama models and hosting patterns fit your use cases, data residency, and compliance requirements.
  2. Integrate. Scrums.com engineers deploy the weights — self-hosted or via a managed cloud endpoint — and wire them into your products, pipelines, and agents with evals and guardrails.
  3. Operate. Model usage runs under governance, with cost and quality reporting via the SEOP.
·

Commercial availability

Llama models are distributed as open weights under Meta's community licence and are also available as managed offerings on major clouds, including Amazon Bedrock and Azure. Licence acceptance sits with you and Meta; any hosted usage is contracted with your cloud provider. Scrums.com delivers the deployment and integration.

·

FAQs

Is Llama open weights or hosted API?

Llama is fundamentally an open-weight family — you can download and run the models yourself under Meta's community licence. The same models are also offered as hosted endpoints on major clouds if you prefer managed inference.

What does a deployment need?

Acceptance of Meta's licence terms, plus either GPU infrastructure for self-hosting or a cloud account for managed endpoints, and scoped access to the systems the models will serve.

Where does our data flow?

Self-hosted Llama keeps prompts and outputs entirely inside your infrastructure. Managed cloud endpoints keep them within your cloud provider's environment. Scrums.com designs the deployment so the data boundary matches your compliance requirements.

03

What's included

in every engagement · no add-ons
Open-weight deploymentincl.
General text generationincl.
Multilingual capabilityincl.
Fine-tuning and customisationincl.
04

Track record

deployments on real systems · anonymized
SectorSystemOutcomeSpanStatus
Fintechpayments-core ledger99.97% achieved14 mo● complete
Commercecheckout platform−38% incident rate9 mo● complete
Health SaaSdata plane0 SEV1 in 6 mo11 mo● active
Logisticsrouting enginezero-downtime cutover7 mo● complete
AI infrainference clusterp99 −120 ms5 mo● active
05

Works inside your stack

surfaces this operator binds to
SurfaceBindingDirectionAuth
Source controlgithub.com/<org>reviews + writesOIDC
CI / CDscm-flow · deploy-servicegates deploysOIDC
Observabilityotlp://collector:4317metrics + alertsmTLS
Commsslack://<workspace>standups, incidentsSSO
Secretsvault://scrums/op/<id>short-lived credsSPIFFE
On-callpagerduty://<org>primary / secondaryAPI token
06

Boundaries

what to deploy instead

Scoped to this discipline. For an adjacent capability, compose a second operator into the squad. compose →

Not a fractional advisory engagement. For advisory-only, contact platform@scrums.com.

07

Deployments

the only social proof we publish

402deploys

across 38 organizations

+24 last 30 days · median age 11.4 mo · retention 96%

08

Pricing

one number · one footnote
usage-based

Priced on scope

All-in: the operator, delivery manager and replacement guarantee. No recruiter fee, no markup surprises.

Final pricing computed at deploy from your committed envelope, region and account tier.

·

FAQ

common questions
How is Llama priced?

Priced on scope. Request a quote and pricing is computed from the work envelope.

Is Llama available now?

Yes. It is published and deployable directly from the Scrums.com catalog.

Can a Llama deployment be reversed?

Yes. Deployments are reversible with a one-click swap inside the trial window.

Who provides Llama?

Meta, vetted by the Scrums.com platform.

·

How it compares

vs other agents
OptionFromStackStatus
Llama · this onePriced on scopeagent · model-providers · open-weights● available
OpenAIUSD 0.0001GBP 0.0001ZAR 0.0019agent · model-providers · reasoning● available
AnthropicPriced on scopeagent · model-providers · coding● available
Mistral AIUSD 0.005GBP 0.004ZAR 0.0925agent · model-providers · open-weights● available
09

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Anthropic

Anthropic's Claude model family for reasoning, coding, and agentic workloads, offered via API and major cloud marketplaces. Scrums.com delivery teams integrate and govern it on the SEOP.

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Mistral AI

European frontier lab Mistral AI offers open-weight and commercial models via La Plateforme and major clouds. Scrums.com delivery teams integrate and govern them inside your stack on the SEOP.

From $0.005Mistral AImodel-providersopen-weightseuropean
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usage-based

Priced on scope