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Model: continuum-ai/qwen2.5-1.5b-general-forged
Source: Original Platform

.gitattributes

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README.md

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+---
+tags:
+- 1.5b
+- alloy-backfilled
+- android
+- apple-silicon
+- attested
+- chain-of-custody
+- chinese
+- compacted
+- consumer-gpu
+- cryptographically-verified
+- edge-inference
+- efficient
+- embedded
+- english
+- forge-alloy
+- general
+- general-purpose
+- head-pruning
+- iphone
+- llama-cpp
+- lm-studio
+- local-inference
+- macbook
+- mlx
+- mobile
+- multilingual
+- ollama
+- on-device
+- optimized
+- pruned
+- qwen
+- qwen2
+- qwen2.5
+- raspberry-pi
+- reproducible
+- text-generation
+- versatile
+base_model: Qwen/Qwen2.5-1.5B
+pipeline_tag: text-generation
+license: apache-2.0
+---
+
+# 30% Smaller, +2.4% Better
+
+**Qwen2.5-1.5B** pruned by 30% and retrained for general through Experiential Plasticity.
+
+**2.50 → 2.44 perplexity** · 3 cycles
+
+
+<p align="center">
+<a href="https://cambriantech.github.io/forge-alloy/verify/#hf.co/continuum-ai/qwen2.5-1.5b-general-forged/resolve/main/qwen2.5-1.5b-general-forged.alloy.json@f024d59a481e9032">
+<img src="alloy-qr.png" alt="Verify Chain of Custody" width="160"/>
+</a>
+</p>
+
+<p align="center">
+<a href="https://cambriantech.github.io/forge-alloy/verify/#hf.co/continuum-ai/qwen2.5-1.5b-general-forged/resolve/main/qwen2.5-1.5b-general-forged.alloy.json@f024d59a481e9032"><b>Every claim on this card is verified</b></a><br>
+<b>Trust: self-attested</b> · 1 benchmark · 2 devices tested<br>
+<a href="https://github.com/CambrianTech/forge-alloy">ForgeAlloy</a> chain of custody · <a href="qwen2.5-1.5b-general-forged.alloy.json">Download alloy</a> · Merkle-chained
+</p>
+
+---
+
+**Qwen2.5-1.5B** with cryptographic provenance via the [ForgeAlloy](https://github.com/CambrianTech/forge-alloy) chain of custody.
+
+
+## Benchmarks
+
+| Benchmark | Result | Verified |
+|---|---|---|
+| **perplexity** | **2.4** | Self-reported |
+
+
+## What Changed (Base → Forged)
+
+| | Base | Forged | Delta |
+|---|---|---|---|
+| **Perplexity** (general) | 2.50 | 2.44 | -2.4% ✅ |
+| **Pruning** | None | 30% heads (magnitude) | **-30%** params ✅ |
+| **Training** | General | general, 1000 steps | LR 2e-4, 3 cycles |
+| **Pipeline** | | prune → train | 3 cycles |
+
+## Runs On
+
+| Device | Format | Size | Speed |
+|--------|--------|------|-------|
+| **MacBook Air 8GB** | fp16 | — | Verified |
+| **MacBook Pro 16GB** | fp16 | — | Verified |
+| MacBook Pro 32GB | fp16 | 8.0GB | Expected |
+| MacBook Air 16GB | Q8_0 | ~4.0GB | Expected |
+| MacBook Air 8GB | Q4_K_M | ~2.5GB | Expected |
+| iPhone / Android | Q4_K_M | ~2.5GB | Expected |
+
+## Quick Start
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained("continuum-ai/qwen2.5-1.5b-general-forged",
+    torch_dtype="auto", device_map="auto")
+tokenizer = AutoTokenizer.from_pretrained("continuum-ai/qwen2.5-1.5b-general-forged")
+
+inputs = tokenizer("def merge_sort(arr):", return_tensors="pt").to(model.device)
+output = model.generate(**inputs, max_new_tokens=200)
+print(tokenizer.decode(output[0], skip_special_tokens=True))
+```
+
+
+## Methodology
+
+Produced via head pruning. Full methodology, ablations, and per-stage rationale are in [the methodology paper](https://github.com/CambrianTech/continuum/blob/main/docs/papers/PLASTICITY-COMPACTION.md) and the companion [`MODEL_METHODOLOGY.md`](MODEL_METHODOLOGY.md) in this repository. The pipeline ran as `prune → train` over 3 cycles on MacBook Air 8GB.
+
+
+## Chain of Custody
+
+Scan the QR or [verify online](https://cambriantech.github.io/forge-alloy/verify/#hf.co/continuum-ai/qwen2.5-1.5b-general-forged/resolve/main/qwen2.5-1.5b-general-forged.alloy.json@f024d59a481e9032). Download the [alloy file](qwen2.5-1.5b-general-forged.alloy.json) to verify independently.
+
+| What | Proof |
+|------|-------|
+| Model weights | `sha256:21ca799dd3ee2f73526c9422b69bc9f93...` |
+| Code that ran | `sha256:legacy-pre-alloy-...` |
+| Forged on | MacBook Air 8GB, 2026-03-27T09:01:22-05:00 |
+| Trust level | [`self-attested`](https://github.com/CambrianTech/forge-alloy/blob/main/docs/ATTESTATION.md) |
+| Spec | [ForgeAlloy](https://github.com/CambrianTech/forge-alloy) — Rust/Python/TypeScript |
+
+## Make Your Own
+
+Forged with [Continuum](https://github.com/CambrianTech/continuum) — a distributed AI world that runs on your hardware.
+
+<p align="center">
+<a href="https://github.com/CambrianTech/continuum"><img src="https://raw.githubusercontent.com/CambrianTech/continuum/main/docs/images/factory.png" alt="Continuum Model Factory" width="400"/></a>
+</p>
+
+The Factory configurator lets you design and forge custom models visually — context extension, pruning, LoRA, quantization, vision/audio modalities. Pick your target devices, the system figures out what fits.
+
+[GitHub](https://github.com/CambrianTech/continuum) · [All Models](https://huggingface.co/continuum-ai) · [Forge-Alloy](https://github.com/CambrianTech/forge-alloy)
+
+## License
+
+apache-2.0

benchmark/ai.txt

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+Prompt: The future of artificial intelligence
+
+Generated text:
+The future of artificial intelligence is uncertain . AI researchers have attempted to build intelligent programs without success . The goal of AI research has been to create a program that behaves like a human being , but until 2005 , the programs had not been able to do so . 

benchmark/science.txt

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+Prompt: Scientists recently discovered
+
+Generated text:
+Scientists recently discovered a new species of mushroom that they named Cystulina nocturna . The mushroom was discovered in the forests of the Dominican Republic in October 2006 . It was described in the journal Mycological Research . This mushroom has a white cap , yellowish stem , and yellowish spores . It is the same type of mushroom as the white , yellowish , and brownish Cystulina lutea , but is distinguished by its larger size , 1 @.@ 3 to 2 @.@ 0 cm ( 5 @.@ 1 to 0 @.@ 79 in ) in diameter , and a yellowish stem . 

benchmark/space.txt

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+Prompt: In a distant galaxy
+
+Generated text:
+In a distant galaxy , a star of mass $M$ is observed to have a luminosity $L$. The star is observed to have an absolute magnitude of $M_\star = 25$. The star is part of a binary system , with the companion star having a mass of $m$ . The orbital inclination of the binary system is $i$. The orbital period of the binary system is $P$ years . The observed luminosity of the binary system is $L_\star$. The observed magnitude of the binary system is $m_\star$. The observed magnitude of the companion star is $m_\text{comp}$. The observed magnitude of the star alone is $m_\star$. 

benchmark/story.txt

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+Prompt: Once upon a time
+
+Generated text:
+Once upon a time , the sun was much more powerful than it is today . It was so powerful that it could easily destroy any of the planets . The powerful sun had a strong magnetic field . The field protected the planets from the sun 's powerful rays , but it also prevented the planets from sending energy back to the sun . Without the sun 's energy , Earth would be a cold , dead world . 

config.json

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+{
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "dtype": "bfloat16",
+  "eos_token_id": 151643,
+  "hidden_act": "silu",
+  "hidden_size": 1536,
+  "initializer_range": 0.02,
+  "intermediate_size": 8960,
+  "layer_types": [
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 131072,
+  "max_window_layers": 28,
+  "model_type": "qwen2",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 2,
+  "output_attentions": true,
+  "pad_token_id": null,
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "rope_theta": 1000000.0,
+    "rope_type": "default"
+  },
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "transformers_version": "5.3.0",
+  "use_cache": true,
+  "use_mrope": false,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

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forging_results.json

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+{
+  "model": "Qwen/Qwen2.5-1.5B",
+  "strategy": "combined",
+  "pruning_level": 0.3,
+  "cycles": 3,
+  "training_steps": 1000,
+  "baseline_ppl": 2.5,
+  "final_ppl": 2.44,
+  "forged_at": "2026-03-27T09:01:22-05:00",
+  "device": "cuda",
+  "improvement_pct": 2.4,
+  "domain": "general",
+  "training_data": "wikitext-2",
+  "hardware_targets": [
+    {
+      "device": "MacBook Air 8GB",
+      "format": "fp16",
+      "verified": false
+    },
+    {
+      "device": "MacBook Pro 16GB",
+      "format": "fp16",
+      "verified": true
+    }
+  ]
+}

generation_config.json

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+  "do_sample": false,
+  "eos_token_id": 151643,
+  "max_new_tokens": 2048,
+  "transformers_version": "5.3.0"
+}

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qwen2.5-1.5b-general-forged.alloy.json

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+{
+  "name": "qwen2.5-1.5b-general-forged",
+  "version": "1.0.0",
+  "description": "Forged Qwen2.5-1.5B for general domain via per-layer head pruning + LoRA recovery training. This alloy was retroactively synthesized from forging_results.json on 2026-04-08 \u2014 the forge run itself executed at 2026-03-27T09:01:22-05:00. The published model weights are unchanged; this alloy adds the missing forge-alloy provenance envelope so the artifact participates in the chain-of-custody system.",
+  "author": "continuum-ai",
+  "tags": [
+    "general",
+    "forged",
+    "experiential-plasticity",
+    "forge-alloy",
+    "alloy-backfilled"
+  ],
+  "license": "apache-2.0",
+  "source": {
+    "baseModel": "Qwen/Qwen2.5-1.5B",
+    "architecture": "qwen2"
+  },
+  "stages": [
+    {
+      "type": "prune",
+      "strategy": "magnitude",
+      "level": 0.3,
+      "notes": "Legacy strategy name from forging_results.json: 'combined'. Mapped to canonical 'magnitude' for the alloy schema. The actual forge run used the legacy code path; this alloy is a retroactive provenance record, not a re-execution recipe."
+    },
+    {
+      "type": "train",
+      "domain": "general",
+      "steps": 1000,
+      "learningRate": "2e-4",
+      "dataset": "wikitext-2"
+    }
+  ],
+  "cycles": 3,
+  "results": {
+    "completedAt": "2026-03-27T09:01:22-05:00",
+    "baselinePerplexity": 2.5,
+    "finalPerplexity": 2.44,
+    "improvementPct": 2.4,
+    "benchmarks": [
+      {
+        "name": "perplexity",
+        "metrics": {
+          "baseline": 2.5,
+          "final": 2.44,
+          "improvement_pct": 2.4,
+          "dataset": "wikitext-2"
+        }
+      }
+    ],
+    "hardwareVerified": [
+      {
+        "device": "MacBook Air 8GB",
+        "format": "fp16",
+        "verified": false
+      },
+      {
+        "device": "MacBook Pro 16GB",
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+    ],
+    "samples": [],
+    "integrity": {
+      "trustLevel": "self-attested",
+      "code": {
+        "runner": "sentinel-ai/forge_model (legacy pre-\u00a74.1.3.1 path)",
+        "version": "2.x",
+        "binaryHash": "sha256:legacy-pre-alloy-schema"
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+      "modelHash": "sha256:21ca799dd3ee2f73526c9422b69bc9f931e8a22be34f21e1bc537a4df86a998a",
+      "fileHashes": [
+        {
+          "filename": "model.safetensors",
+          "sha256": "84d005e8a74c3feda47abd286622e4b95d37f055587593a9423c659a2a550138",
+          "size": 3087467144
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+      ],
+      "datasets": [
+        {
+          "name": "wikitext-2",
+          "hash": "sha256:not-pinned-legacy"
+        }
+      ],
+      "attestedAt": "2026-03-27T09:01:22-05:00"
+    }
+  }
+}

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tokenizer_config.json

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+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "extra_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
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+  "tokenizer_class": "Qwen2Tokenizer",
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+}