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ModelCap

HyLo Llama 8MLA8GDN 8K SFT

Official publisher releaseOpen weights

Amd·#503 of 504 in the all-versions archive

HyLo Llama 8MLA8GDN 8K SFT is a language model from Amd. It ranks #503 of 504 in ModelCap's all-versions archive, with an Index score of 3.4, carried over from the model it is built on. Its score range of 0.0–20.3 spans positions #416–#504. Its weights are openly downloadable.

Figures as of 6 Nov 2026, 20:49 UTC · download the public dataset · methodology

ModelCap Index · All-versions archive
3.4#503
Carried over from the model it is built on · range 0.0–20.3
Market Gravity
4.3
Secondary market signal

Superseded by HyLo Llama 8MLA8GDN 64K SFT. It no longer holds a current-board position; its all-versions archive rank is #503.

OpenRouter endpoint status could not be refreshed. This model is not treated as currently served until a successful observation arrives.

Input
Self-hosted
weights only · no listed API price
Output
Self-hosted
weights only · no listed API price
Context
—
tokens
Providers
0
endpoints

Providers

Uptime measured over the last 30 minutes

Current provider status is unavailable.

Other versions (1)

ModelCap Index · All-versions archive

Methodology
3.4
Carried over from the model it is built on
All-versions archive
#503 of 504
Score range
0.0–20.3
Rank range
#416–#504
Technical details
Public rank basis
Modeled · lineage (lineage)
Evidence label
Modeled · lineage · finetune of meta-llama/llama-3.2-1b-instruct · finetune (100%)
Index support
25.2% · moderate
Identity binding
Exact catalogue product · amd/amd/HyLo-Llama-8MLA8GDN-8K-SFT · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata amd/HyLo-Llama-8MLA8GDN-8K-SFT@5f1caf749e9d6d4635e16055b91a5e30fb0517ed (not the evaluation revision)
Index observations used
0
Qualified Index evidence point
3.4
Verified lineage
meta-llama/llama-3.2-1b-instruct · minus 1.2 ( finetune)
How this position was produced · fused launch placement

No general-family board lists this model yet. Its point estimate is the precision-weighted mean of every channel that spoke for it; each channel’s share is the weight it carried. Independent measurements replace this placement as boards list the model.

Fused estimate
3.4 ± 13.2
Independent share
0%
Shrink toward corpus
0.0
Optimism haircut
None applied
Method
precision-weighted-v1
Channels fused into this model’s launch placement
ChannelEstimateShare
Verified lineage · not independent
finetune of meta-llama/llama-3.2-1b-instruct · finetune
3.4 ± 13.2100%
Bayesian Evidence Score · measured evidence input only

BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.

Observed capability
—
Evidence status
No admitted measured evidence
General preference
—
Coding
—
Agents & tools
—
Reasoning
—
Evidence breadth
0%
Evidence coverage
0%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
—
Liquidity (providers × uptime)
—
Open reach (HF downloads)
1.7
Surface (context / tools / modalities)
0.0
Freshness
80.7
  • · HF 30d downloads 52
  • · Catalogue surface
  • · First seen 2026-09-11

These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.

The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.

Experimental capability estimate

Estimate policy
4.4
0.0–20.0 uncertainty interval
Excluded from rank
Confidence
76%
Training support
221 models · 129 lineages
Out-of-domain check
in domain
Feature coverage
71%
Lineage-held-out error
8.3 MAE

Experimental estimate. This layer predicts from admitted evidence and safe metadata only. It never enters ModelCap Score or rank.

Deployment readiness

Metadata index
52.4
partial · 56% metadata coverage
Not capability
Artifact reproducibility
100.0
Access & legal clarity
100.0
Deployability
8.0
Evaluation provenance
0.0

Not yet published: a current serving provider, measured provider uptime, published provider pricing, declared context and output limits, admitted benchmark results, results across several capability areas, results from more than one source, a confident match to its benchmark entries, pinned evaluation dataset versions.

A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.

Market activity

Venue coverage
Market Gravity
4.3
OpenRouter weekly popularity
Not listed

Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.

Arena preference

No matched Arena rating

This model is visible because it is available in the live catalogue, but it has no trustworthy community result yet. ModelCap does not infer a quality score from price, features, or market activity.

Market Gravity breakdown

Usage55%
0.0

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
0.0

Independent providers versus the model's open or closed cohort, weighted by uptime.

Open reach15%
1.7

Hugging Face 30-day downloads for open models; neutral for closed models.

Freshness5%
80.7

Time since first public availability, on a six-month half-life.

Specification

Model ID
amd/HyLo-Llama-8MLA8GDN-8K-SFT
Declared output cap
Unknown

OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. OpenRouter metadata

Inputs
Text
Outputs
Text
Cached input tokens
Not offered
First seen on OpenRouter
11 Sept 2026

Capabilities

  • Not supported: Reasoning
  • Not supported: Tool use
  • Not supported: Structured output
  • Not supported: Response format
  • Not supported: Moderated

Weights & access

Open weights. Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI.

Access
Open weights
Pinned revision
5f1caf749e9d
Parameters
1.6B
Architecture
LlamaForCausalLM
Model type
llama
Hugging Face downloads (30d)
52
Downloads (all time)
135
Likes
0
Repository updated
11 Sept 2026, 13:31 UTC

HyLo Llama 8MLA8GDN 8K SFT: common questions

How does HyLo Llama 8MLA8GDN 8K SFT rank among AI models?

HyLo Llama 8MLA8GDN 8K SFT is a superseded version and is not on the current board as of 6 November 2026. Its archive position, where one exists, is shown on the page; the newer version carries the current rank.

How much does HyLo Llama 8MLA8GDN 8K SFT cost per 1M tokens?

No live API price is listed for HyLo Llama 8MLA8GDN 8K SFT in the current snapshot as of 6 November 2026 because the latest endpoint refresh was unavailable. ModelCap shows a price only when a provider currently lists one.

Is HyLo Llama 8MLA8GDN 8K SFT open-weight?

Open weights (amd-hybrid-models-research-only-rail-ms). Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI. The repository is amd/HyLo-Llama-8MLA8GDN-8K-SFT on Hugging Face.

When was HyLo Llama 8MLA8GDN 8K SFT released?

HyLo Llama 8MLA8GDN 8K SFT first appeared in the catalogue on 11 Sept 2026. It has since been superseded by HyLo Llama 8MLA8GDN 64K SFT. Rank and price movements since then are recorded on the site's changes feed.