Add Pollock 1.5 Mini LM 128M (Fabryka AI)

# Add Pollock 1.5 Mini LM 128M (Fabryka AI)

Adds **Pollock 1.5 Mini LM 128M**, a 127.43M-parameter English base language
model trained from scratch by Fabryka AI.

- Model: https://huggingface.co/SlayerLab/pollock-mini-lm-125m
- Evaluated revision: [`f2a1ec072098d257c36b129b0e554e2e6de9c46e`](https://huggingface.co/SlayerLab/pollock-mini-lm-125m/tree/f2a1ec072098d257c36b129b0e554e2e6de9c46e)
- Architecture: GPT-2-compatible decoder, 16 layers, 768 hidden width, 12 attention heads, 3,200-wide MLP, 2,048-token context
- Training tokens: 21,503,919,992
- License: mixed upstream dataset terms, documented in the model repository

## Results

All results are zero-shot, complete-split evaluations with
`lm-evaluation-harness 0.4.12` and Transformers `5.15.1`.

| Benchmark | Metric | Score |
| --- | --- | ---: |
| BLiMP | `acc` | 78.4970 |
| ARC-Easy | `acc` | 47.7273 |
| WikiText-2 | `byte_perplexity` | 1.9435 |

BLiMP and ARC-Easy were evaluated in BF16 with batch size 8 and maximum context
1,024 on Apple M1 Max MPS. The full raw result includes both ARC-Easy `acc`
(`0.4772727273`) and `acc_norm` (`0.4183501684`):

https://huggingface.co/SlayerLab/pollock-mini-lm-125m/blob/f2a1ec072098d257c36b129b0e554e2e6de9c46e/benchmarks/english.json

WikiText-2 was evaluated separately on an NVIDIA RTX 4090 using BF16, batch
size 8, the model's full 2,048-token context, all 62 test documents, and no
sample limit. The evaluation took 22.92 seconds.

```bash
lm_eval \
--model hf \
--model_args "pretrained=SlayerLab/pollock-mini-lm-125m,revision=f2a1ec072098d257c36b129b0e554e2e6de9c46e,dtype=bfloat16,max_length=2048" \
--tasks wikitext \
--num_fewshot 0 \
--batch_size 8 \
--device cuda:0 \
--seed "0,1234,1234,1234"
```

The WikiText-2 run also produced `bits_per_byte = 0.9586784660` and
`word_perplexity = 34.9322042476`.

## Parameter count

The leaderboard entry uses the native model's 127,427,328 unique trainable
parameters. The Transformers compatibility artifact contains 127,565,312
serialized parameters because `GPT2LMHeadModel` requires an additional 137,984
zero-valued bias parameters that were absent from the trained native model.

## Changes

- Adds one model object to `models`.
- Uses `Fabryka AI` directly as the organization name.
- Adds the organization color `#963200`.

index.html

@@ -588,6 +588,19 @@ footer a:hover { text-decoration: underline; }
 </div>
 <script>
 const models = [
+  {
+    name: "Pollock 1.5 Mini LM 128M",
+    org: "Fabryka AI",
+    params: "127.43M",
+    blimp: 78.497,
+    arc: 47.7273,
+    wiki: 1.9435,
+    tokens: "21.50B",
+    releaseDate: "2026-09-20",
+    links: {
+      card: "https://huggingface.co/SlayerLab/pollock-mini-lm-125m"
+    }
+  },
   {
     name: "JugnuLM-53M",
     org: "altslate",
@@ -1643,6 +1656,7 @@ const orgNameMap = {
 };
 
 const colorMap = {
+  'Fabryka AI': '#963200',
   glintresearch: '#3fb950',
   supralabs: '#58a6ff',
   axiomiclabs: '#c2b6ff',