🧠

Model

Affine Test 2

Name: Affine Test 2
Author: jenny08311

by jenny08311 hf-model--jenny08311--affine-test-2

Nexus Index

39.1 Top 6%

S: Semantic 50

A: Authority 0

P: Popularity 17

R: Recency 97

Q: Quality 65

Tech Context

Vital Performance

328 DL / 30D

0.0%

Source →

Audited 39.1 FNI Score

Tiny - Params

- Context

328 Downloads

Model Information Summary
Entity Passport
Registry ID	hf-model--jenny08311--affine-test-2
Provider	huggingface

📜

Cite this model

Academic & Research Attribution

BibTeX

@misc{hf_model__jenny08311__affine_test_2,
  author = {jenny08311},
  title = {Affine Test 2 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/jenny08311/affine-test-2}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}

APA Style

jenny08311. (2026). Affine Test 2 [Model]. Free2AITools. https://huggingface.co/jenny08311/affine-test-2

🔬Technical Deep Dive

Full Specifications [+]

Quick Commands

🤗 HF Download

huggingface-cli download jenny08311/affine-test-2

📦 Install Lib

pip install -U transformers

⚖️ Nexus Index V2.0

Methodology Index Protocol

39.1

TOP 6% SYSTEM IMPACT

Semantic (S) 50

Authority (A) 0

Popularity (P) 17

Recency (R) 97

Quality (Q) 65

💬 Index Insight

FNI V2.0 for Affine Test 2: Semantic (S:50), Authority (A:0), Popularity (P:17), Recency (R:97), Quality (Q:65).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit

Unbiased Data Node Refresh: VFS Live

---

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⚡

Deployment Guide

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Technical Deep Dive

merged2

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the TIES merge method using Qwen/Qwen3-32B as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

yaml

base_model: Qwen/Qwen3-32B
dtype: bfloat16
merge_method: ties
parameters:
  int8_mask: 1.0
  normalize: 1.0
slices:
- sources:
  - layer_range: [0, 8]
    model: oliverchang/Affine-95-5HL2tZAma8d9BAsqZWdFvhdjrxjqMyBZyPVKhknRtHESTKLe
    parameters:
      density:
      - filter: mlp
        value: 1.0
      - filter: self_attn
        value: 1.0
      - value: 1.0
      weight:
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        value: 0.229157766817565
      - filter: self_attn
        value: 0.22355404772701382
      - value: 0.4840389567064066
  - layer_range: [0, 8]
    model: roaringcat1/Affine-0327e2-5EcNJ9jwSeEaNKUKvQgZkoy345hxCZX9Dxh3Tay43Me4nhwN
    parameters:
      density:
      - filter: mlp
        value: 0.994095196621491
      - filter: self_attn
        value: 0.8805487622288583
      - value: 1.0
      weight:
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        value: 0.19169056368569998
      - filter: self_attn
        value: 0.15154443200026455
      - value: 0.24092690141081124
  - layer_range: [0, 8]
    model: leary-comos/affine-5CXjrfQeeKoXErUY4jGysVsNqvLhry32LrToJnL7GmrVhFSE
    parameters:
      density:
      - filter: mlp
        value: 0.9711643331194969
      - filter: self_attn
        value: 1.0
      - value: 0.6986963860942916
      weight:
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        value: 0.14491439464945294
      - filter: self_attn
        value: 0.3277614764142722
      - value: 0.49470458606178236
  - layer_range: [0, 8]
    model: catKnowCoffiee/Affine2-5EPhxsSDWnNzYjZdupuC5WLi2a5M8FYfnkvo5ukWM8Yge9zi
    parameters:
      density:
      - filter: mlp
        value: 0.9415774989077959
      - filter: self_attn
        value: 1.0
      - value: 0.8927119097550648
      weight:
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        value: 0.12314192507816923
      - filter: self_attn
        value: 0.0462142898767027
      - value: 0.4241035212080905
  - layer_range: [0, 8]
    model: axon1/affine_m19_5CJHUdkdDJkgb6wdE3ZEL8E7N88LsUhTgfztTWVnnnFsmh8d
    parameters:
      density:
      - filter: mlp
        value: 0.7420280605052475
      - filter: self_attn
        value: 0.8462985077655709
      - value: 0.9802403049682763
      weight:
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        value: 0.20121886222555013
      - filter: self_attn
        value: 0.31744532444358475
      - value: 0.24664880000446365
  - layer_range: [0, 8]
    model: Qwen/Qwen3-32B
- sources:
  - layer_range: [8, 16]
    model: oliverchang/Affine-95-5HL2tZAma8d9BAsqZWdFvhdjrxjqMyBZyPVKhknRtHESTKLe
    parameters:
      density:
      - filter: mlp
        value: 1.0
      - filter: self_attn
        value: 0.9323857013504505
      - value: 1.0
      weight:
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      - filter: self_attn
        value: 0.1522106529590262
      - value: 0.2305366991902145
  - layer_range: [8, 16]
    model: roaringcat1/Affine-0327e2-5EcNJ9jwSeEaNKUKvQgZkoy345hxCZX9Dxh3Tay43Me4nhwN
    parameters:
      density:
      - filter: mlp
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      weight:
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      - filter: self_attn
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      - value: 0.3300384307131328
  - layer_range: [8, 16]
    model: leary-comos/affine-5CXjrfQeeKoXErUY4jGysVsNqvLhry32LrToJnL7GmrVhFSE
    parameters:
      density:
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      weight:
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      - filter: self_attn
        value: 0.49167496567070906
      - value: 0.010069951104014485
  - layer_range: [8, 16]
    model: catKnowCoffiee/Affine2-5EPhxsSDWnNzYjZdupuC5WLi2a5M8FYfnkvo5ukWM8Yge9zi
    parameters:
      density:
      - filter: mlp
        value: 1.0
      - filter: self_attn
        value: 1.0
      - value: 1.0
      weight:
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        value: 0.13541221783575097
      - filter: self_attn
        value: 0.1585409179131855
      - value: 0.34887111638619545
  - layer_range: [8, 16]
    model: axon1/affine_m19_5CJHUdkdDJkgb6wdE3ZEL8E7N88LsUhTgfztTWVnnnFsmh8d
    parameters:
      density:
      - filter: mlp
        value: 0.9547799270788606
      - filter: self_attn
        value: 0.853882617019473
      - value: 0.8830266135833541
      weight:
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        value: 0.0869898761522446
      - filter: self_attn
        value: 0.079264195032102
      - value: 0.000300083586008304
  - layer_range: [8, 16]
    model: Qwen/Qwen3-32B
- sources:
  - layer_range: [16, 24]
    model: oliverchang/Affine-95-5HL2tZAma8d9BAsqZWdFvhdjrxjqMyBZyPVKhknRtHESTKLe
    parameters:
      density:
      - filter: mlp
        value: 1.0
      - filter: self_attn
        value: 1.0
      - value: 0.8579352909483564
      weight:
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        value: 0.37943638275321645
      - filter: self_attn
        value: 0.23816706907675822
      - value: 0.2691054840732369
  - layer_range: [16, 24]
    model: roaringcat1/Affine-0327e2-5EcNJ9jwSeEaNKUKvQgZkoy345hxCZX9Dxh3Tay43Me4nhwN
    parameters:
      density:
      - filter: mlp
        value: 0.9057457454870665
      - filter: self_attn
        value: 1.0
      - value: 1.0
      weight:
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        value: 0.33885453754046074
      - filter: self_attn
        value: 0.11699954726853046
      - value: 0.07556890035330721
  - layer_range: [16, 24]
    model: leary-comos/affine-5CXjrfQeeKoXErUY4jGysVsNqvLhry32LrToJnL7GmrVhFSE
    parameters:
      density:
      - filter: mlp
        value: 1.0
      - filter: self_attn
        value: 1.0
      - value: 1.0
      weight:
      - filter: mlp
        value: 0.2931155808272028
      - filter: self_attn
        value: 0.4116118273384919
      - value: 0.2986063196296063
  - layer_range: [16, 24]
    model: catKnowCoffiee/Affine2-5EPhxsSDWnNzYjZdupuC5WLi2a5M8FYfnkvo5ukWM8Yge9zi
    parameters:
      density:
      - filter: mlp
        value: 0.9329619152157824
      - filter: self_attn
        value: 0.9320367668527276
      - value: 1.0
      weight:
      - filter: mlp
        value: 0.22623823455894013
      - filter: self_attn
        value: 0.2993864528360967
      - value: 0.005781993886873338
  - layer_range: [16, 24]
    model: axon1/affine_m19_5CJHUdkdDJkgb6wdE3ZEL8E7N88LsUhTgfztTWVnnnFsmh8d
    parameters:
      density:
      - filter: mlp
        value: 1.0
      - filter: self_attn
        value: 1.0
      - value: 0.8580650576571267
      weight:
      - filter: mlp
        value: 0.3633253467189191
      - filter: self_attn
        value: 0.07956588576735177
      - value: 0.32924300789820693
  - layer_range: [16, 24]
    model: Qwen/Qwen3-32B
- sources:
  - layer_range: [24, 32]
    model: oliverchang/Affine-95-5HL2tZAma8d9BAsqZWdFvhdjrxjqMyBZyPVKhknRtHESTKLe
    parameters:
      density:
      - filter: mlp
        value: 0.988135884932053
      - filter: self_attn
        value: 1.0
      - value: 0.7162065570946414
      weight:
      - filter: mlp
        value: 0.25018722106603175
      - filter: self_attn
        value: 0.086591160390648
      - value: 0.46129808613160334
  - layer_range: [24, 32]
    model: roaringcat1/Affine-0327e2-5EcNJ9jwSeEaNKUKvQgZkoy345hxCZX9Dxh3Tay43Me4nhwN
    parameters:
      density:
      - filter: mlp
        value: 1.0
      - filter: self_attn
        value: 0.896650412932646
      - value: 0.7543570606771597
      weight:
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        value: 0.11907163870612837
      - filter: self_attn
        value: 0.38476752758072874
      - value: 0.16198903449932428
  - layer_range: [24, 32]
    model: leary-comos/affine-5CXjrfQeeKoXErUY4jGysVsNqvLhry32LrToJnL7GmrVhFSE
    parameters:
      density:
      - filter: mlp
        value: 1.0
      - filter: self_attn
        value: 1.0
      - value: 1.0
      weight:
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        value: 0.29815829615670203
      - filter: self_attn
        value: 0.15575869600945513
      - value: 0.16512593955563443
  - layer_range: [24, 32]
    model: catKnowCoffiee/Affine2-5EPhxsSDWnNzYjZdupuC5WLi2a5M8FYfnkvo5ukWM8Yge9zi
    parameters:
      density:
      - filter: mlp
        value: 1.0
      - filter: self_attn
        value: 0.7254810045037516
      - value: 1.0
      weight:
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        value: 0.2785077937693901
      - filter: self_attn
        value: 0.541687146985281
      - value: 0.04652104626126202
  - layer_range: [24, 32]
    model: axon1/affine_m19_5CJHUdkdDJkgb6wdE3ZEL8E7N88LsUhTgfztTWVnnnFsmh8d
    parameters:
      density:
      - filter: mlp
        value: 0.738245960137246
      - filter: self_attn
        value: 0.9389975387065381
      - value: 0.9283499104360441
      weight:
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        value: 0.2825987318016763
      - filter: self_attn
        value: 0.3262170514811288
      - value: 0.2971610706590366
  - layer_range: [24, 32]
    model: Qwen/Qwen3-32B
- sources:
  - layer_range: [32, 40]
    model: oliverchang/Affine-95-5HL2tZAma8d9BAsqZWdFvhdjrxjqMyBZyPVKhknRtHESTKLe
    parameters:
      density:
      - filter: mlp
        value: 1.0
      - filter: self_attn
        value: 0.873712728027745
      - value: 0.8383243860533289
      weight:
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      - filter: self_attn
        value: 0.21530600088882373
      - value: 0.1990990615291801
  - layer_range: [32, 40]
    model: roaringcat1/Affine-0327e2-5EcNJ9jwSeEaNKUKvQgZkoy345hxCZX9Dxh3Tay43Me4nhwN
    parameters:
      density:
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        value: 0.8724694591903401
      - filter: self_attn
        value: 0.8664483884129102
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      weight:
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      - filter: self_attn
        value: 0.47239175202445133
      - value: 0.3297063908640489
  - layer_range: [32, 40]
    model: leary-comos/affine-5CXjrfQeeKoXErUY4jGysVsNqvLhry32LrToJnL7GmrVhFSE
    parameters:
      density:
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        value: 0.9581004271197625
      - filter: self_attn
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      weight:
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      - filter: self_attn
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  - layer_range: [32, 40]
    model: catKnowCoffiee/Affine2-5EPhxsSDWnNzYjZdupuC5WLi2a5M8FYfnkvo5ukWM8Yge9zi
    parameters:
      density:
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      - filter: self_attn
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      weight:
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  - layer_range: [32, 40]
    model: axon1/affine_m19_5CJHUdkdDJkgb6wdE3ZEL8E7N88LsUhTgfztTWVnnnFsmh8d
    parameters:
      density:
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        value: 0.9394390758562879
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  - layer_range: [32, 40]
    model: Qwen/Qwen3-32B
- sources:
  - layer_range: [40, 48]
    model: oliverchang/Affine-95-5HL2tZAma8d9BAsqZWdFvhdjrxjqMyBZyPVKhknRtHESTKLe
    parameters:
      density:
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  - layer_range: [40, 48]
    model: roaringcat1/Affine-0327e2-5EcNJ9jwSeEaNKUKvQgZkoy345hxCZX9Dxh3Tay43Me4nhwN
    parameters:
      density:
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  - layer_range: [40, 48]
    model: leary-comos/affine-5CXjrfQeeKoXErUY4jGysVsNqvLhry32LrToJnL7GmrVhFSE
    parameters:
      density:
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  - layer_range: [40, 48]
    model: catKnowCoffiee/Affine2-5EPhxsSDWnNzYjZdupuC5WLi2a5M8FYfnkvo5ukWM8Yge9zi
    parameters:
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    model: axon1/affine_m19_5CJHUdkdDJkgb6wdE3ZEL8E7N88LsUhTgfztTWVnnnFsmh8d
    parameters:
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    model: Qwen/Qwen3-32B
- sources:
  - layer_range: [48, 56]
    model: oliverchang/Affine-95-5HL2tZAma8d9BAsqZWdFvhdjrxjqMyBZyPVKhknRtHESTKLe
    parameters:
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    model: roaringcat1/Affine-0327e2-5EcNJ9jwSeEaNKUKvQgZkoy345hxCZX9Dxh3Tay43Me4nhwN
    parameters:
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    model: leary-comos/affine-5CXjrfQeeKoXErUY4jGysVsNqvLhry32LrToJnL7GmrVhFSE
    parameters:
      density:
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  - layer_range: [48, 56]
    model: catKnowCoffiee/Affine2-5EPhxsSDWnNzYjZdupuC5WLi2a5M8FYfnkvo5ukWM8Yge9zi
    parameters:
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      weight:
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  - layer_range: [48, 56]
    model: axon1/affine_m19_5CJHUdkdDJkgb6wdE3ZEL8E7N88LsUhTgfztTWVnnnFsmh8d
    parameters:
      density:
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  - layer_range: [48, 56]
    model: Qwen/Qwen3-32B
- sources:
  - layer_range: [56, 64]
    model: oliverchang/Affine-95-5HL2tZAma8d9BAsqZWdFvhdjrxjqMyBZyPVKhknRtHESTKLe
    parameters:
      density:
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      weight:
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  - layer_range: [56, 64]
    model: roaringcat1/Affine-0327e2-5EcNJ9jwSeEaNKUKvQgZkoy345hxCZX9Dxh3Tay43Me4nhwN
    parameters:
      density:
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      weight:
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        value: 0.10296682694312156
      - value: 0.28711505201569476
  - layer_range: [56, 64]
    model: leary-comos/affine-5CXjrfQeeKoXErUY4jGysVsNqvLhry32LrToJnL7GmrVhFSE
    parameters:
      density:
      - filter: mlp
        value: 1.0
      - filter: self_attn
        value: 1.0
      - value: 1.0
      weight:
      - filter: mlp
        value: 0.03154993627498953
      - filter: self_attn
        value: 0.46607641761421154
      - value: 0.03130857387582486
  - layer_range: [56, 64]
    model: catKnowCoffiee/Affine2-5EPhxsSDWnNzYjZdupuC5WLi2a5M8FYfnkvo5ukWM8Yge9zi
    parameters:
      density:
      - filter: mlp
        value: 1.0
      - filter: self_attn
        value: 1.0
      - value: 0.9893577719805176
      weight:
      - filter: mlp
        value: 0.11510228659345799
      - filter: self_attn
        value: 0.004695235658726482
      - value: 0.13314236744190203
  - layer_range: [56, 64]
    model: axon1/affine_m19_5CJHUdkdDJkgb6wdE3ZEL8E7N88LsUhTgfztTWVnnnFsmh8d
    parameters:
      density:
      - filter: mlp
        value: 0.9999932994987275
      - filter: self_attn
        value: 1.0
      - value: 1.0
      weight:
      - filter: mlp
        value: 0.12910379189104515
      - filter: self_attn
        value: 0.33723083428835426
      - value: 0.09157805648391475
  - layer_range: [56, 64]
    model: Qwen/Qwen3-32B

⚠️ Incomplete Data

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📝 Limitations & Considerations

• Benchmark scores may vary based on evaluation methodology and hardware configuration.
• VRAM requirements are estimates; actual usage depends on quantization and batch size.
• FNI scores are relative rankings and may change as new models are added.
⚠ License Unknown: Verify licensing terms before commercial use.

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🤗 Data Source: Hugging Face ↗

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AI Summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹ️ Verify with original source

🛡️ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id: hf-model--jenny08311--affine-test-2
slug: jenny08311--affine-test-2
source: huggingface
author: jenny08311
license
tags: transformers, safetensors, qwen3, text-generation, mergekit, merge, conversational, arxiv:2306.01708, base_model:qwen/qwen3-32b, base_model:merge:qwen/qwen3-32b, text-generation-inference, endpoints_compatible, region:us

⚙️ Technical Specs

architecture: null
params billions: null
context length: null
pipeline tag: text-generation

📊 Engagement & Metrics

downloads: 328
stars: 0
forks: 0

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