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continuum-ai
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qwen3.5-4b-code-forged

Text Generation
MLX
Safetensors
GGUF
Rust
qwen3_5_text
4b
agentic-coding
android
apple-silicon
attested
bash
c
chain-of-custody
chinese
code
code-completion
code-generation
code-infill
coder
coding
consumer-gpu
cpp
cryptographically-verified
css
delta-forge
edge-inference
embedded
english
forge-alloy
function-calling
ggml
go
html
iphone
java
javascript
kotlin
llama-cpp
lm-studio
local-inference
macbook
mobile
multilingual
ollama
on-device
php
programming
python
q4-k-m
quantized
qwen
qwen3
qwen3.5
raspberry-pi
reproducible
ruby
software-engineering
sql
swift
typescript
Model card Files
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EnricoFermi commited on
Commit
5179a82
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1 Parent(s): 7c6cf2c

Upload forging_results.json with huggingface_hub

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Files changed (1) hide show
  1. forging_results.json +14 -14
forging_results.json CHANGED
@@ -2,13 +2,13 @@
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  "model": "Qwen/Qwen3.5-4B",
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  "domain": "code",
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  "strategy": "experiential_plasticity",
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- "pruning_level": 0.3,
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  "cycles": 3,
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- "training_steps": 1000,
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  "baseline_ppl": 3.0382,
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- "final_ppl": 2.3107,
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- "improvement_pct": 23.95,
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- "forged_at": "2026-03-27T17:38:15-0500",
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  "device": "NVIDIA GeForce RTX 5090",
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  "tier": "A",
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  "load_4bit": false,
@@ -20,21 +20,21 @@
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  "cycle_results": [
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  {
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  "cycle": 1,
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- "post_prune_ppl": 2.2937,
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- "post_train_ppl": 2.2937,
25
- "improvement_vs_baseline_pct": 24.51
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  },
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  {
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  "cycle": 2,
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- "post_prune_ppl": 2.28,
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- "post_train_ppl": 2.28,
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- "improvement_vs_baseline_pct": 24.96
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  },
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  {
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  "cycle": 3,
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- "post_prune_ppl": 2.3107,
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- "post_train_ppl": 2.3107,
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- "improvement_vs_baseline_pct": 23.95
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  }
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  ],
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  "hardware_targets": [
 
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  "model": "Qwen/Qwen3.5-4B",
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  "domain": "code",
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  "strategy": "experiential_plasticity",
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+ "pruning_level": 0.45,
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  "cycles": 3,
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+ "training_steps": 500,
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  "baseline_ppl": 3.0382,
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+ "final_ppl": 2.2305,
10
+ "improvement_pct": 26.58,
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+ "forged_at": "2026-03-28T04:48:47-0500",
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  "device": "NVIDIA GeForce RTX 5090",
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  "tier": "A",
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  "load_4bit": false,
 
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  "cycle_results": [
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  {
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  "cycle": 1,
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+ "post_prune_ppl": 2.2001,
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+ "post_train_ppl": 2.2001,
25
+ "improvement_vs_baseline_pct": 27.59
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  },
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  {
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  "cycle": 2,
29
+ "post_prune_ppl": 2.2839,
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+ "post_train_ppl": 2.2839,
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+ "improvement_vs_baseline_pct": 24.83
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  },
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  {
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  "cycle": 3,
35
+ "post_prune_ppl": 2.2305,
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+ "post_train_ppl": 2.2305,
37
+ "improvement_vs_baseline_pct": 26.58
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  }
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  ],
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  "hardware_targets": [