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  1. .gitattributes +1 -0
  2. LICENSE +5 -0
  3. README.md +77 -0
  4. gpu-pipelined/bitcpm_8b_decode_ternary_s1/bitcpm_8b_decode_ternary_s1.h18p.aimodelc/main-h18p-delegates/MPSGraph/mpsExecutable.mpsgraphpackage/manifest.plist +1597 -0
  5. gpu-pipelined/bitcpm_8b_decode_ternary_s1/bitcpm_8b_decode_ternary_s1.h18p.aimodelc/main-h18p-delegates/MPSGraph/mpsExecutable.mpsgraphpackage/original_model_0.mpsgraph +3 -0
  6. gpu-pipelined/bitcpm_8b_decode_ternary_s1/bitcpm_8b_decode_ternary_s1.h18p.aimodelc/main-h18p-delegates/MPSGraph/mpsExecutable.mpsgraphpackage/reflection.fb +0 -0
  7. gpu-pipelined/bitcpm_8b_decode_ternary_s1/bitcpm_8b_decode_ternary_s1.h18p.aimodelc/main-h18p-delegates/MPSGraph/mpsExecutable.mpsgraphpackage/resources.bin +3 -0
  8. gpu-pipelined/bitcpm_8b_decode_ternary_s1/bitcpm_8b_decode_ternary_s1.h18p.aimodelc/main-h18p.mlirb +0 -0
  9. gpu-pipelined/bitcpm_8b_decode_ternary_s1/bitcpm_8b_decode_ternary_s1.h18p.aimodelc/main.hash +1 -0
  10. gpu-pipelined/bitcpm_8b_decode_ternary_s1/bitcpm_8b_decode_ternary_s1.h18p.aimodelc/metadata.json +6 -0
  11. gpu-pipelined/bitcpm_8b_decode_ternary_s1/bitcpm_8b_decode_ternary_s1.h18p.aimodelc/stats.json +1 -0
  12. gpu-pipelined/bitcpm_8b_decode_ternary_s1/metadata.json +15 -0
  13. gpu-pipelined/bitcpm_8b_decode_ternary_s1/tokenizer/added_tokens.json +10 -0
  14. gpu-pipelined/bitcpm_8b_decode_ternary_s1/tokenizer/chat_template.jinja +4 -0
  15. gpu-pipelined/bitcpm_8b_decode_ternary_s1/tokenizer/special_tokens_map.json +33 -0
  16. gpu-pipelined/bitcpm_8b_decode_ternary_s1/tokenizer/tokenizer.json +0 -0
  17. gpu-pipelined/bitcpm_8b_decode_ternary_s1/tokenizer/tokenizer.model +3 -0
  18. gpu-pipelined/bitcpm_8b_decode_ternary_s1/tokenizer/tokenizer_config.json +117 -0
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ gpu-pipelined/bitcpm_8b_decode_ternary_s1/bitcpm_8b_decode_ternary_s1.h18p.aimodelc/main-h18p-delegates/MPSGraph/mpsExecutable.mpsgraphpackage/original_model_0.mpsgraph filter=lfs diff=lfs merge=lfs -text
LICENSE ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
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+ Apache License 2.0
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+
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+ This Core AI artifact is a converted redistribution of openbmb/BitCPM-CANN-8B
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+ (https://huggingface.co/openbmb/BitCPM-CANN-8B), released under the Apache License, Version 2.0.
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+ Full text: https://www.apache.org/licenses/LICENSE-2.0
README.md ADDED
@@ -0,0 +1,77 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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+ base_model:
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+ - openbmb/BitCPM-CANN-8B
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+ tags:
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+ - core-ai
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+ - coreai
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+ - on-device
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+ - iphone
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+ - apple-silicon
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+ - ternary
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+ - bitnet
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+ - 1.58-bit
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+ - minicpm
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+ language:
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+ - en
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+ - zh
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+ pipeline_tag: text-generation
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+ library_name: coreai
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+ ---
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+
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+ > **Mirror** of [`mlboydaisuke/BitCPM-8B-CoreAI`](https://huggingface.co/mlboydaisuke/BitCPM-8B-CoreAI) — the canonical repo ([CoreAI Model Zoo](https://github.com/john-rocky/coreai-model-zoo)). Updates land there first.
23
+
24
+
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+ # BitCPM-8B → Apple Core AI (1.58-bit ternary, on-device)
26
+
27
+ The zoo's **first 1.58-bit ternary LLM** and **first sub-int8 packed-GEMM Metal kernel**, running
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+ fully on-device on **iPhone** (and Mac) through Apple **Core AI** (`.aimodel` / `.aimodelc`, iOS 27 /
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+ macOS 27).
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+
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+ An 8B model whose transformer weights are just **{-1, 0, +1}** — so it generates at a **3–4B-class
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+ footprint and speed** while keeping 8B-class quality.
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+
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+ - **Base:** [openbmb/BitCPM-CANN-8B](https://huggingface.co/openbmb/BitCPM-CANN-8B) (MiniCPM4-8B
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+ architecture, quantization-aware trained to ternary), Apache-2.0.
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+ - **Zoo + conversion code:** https://github.com/john-rocky/coreai-model-zoo
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+
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+ ## On-device (iPhone 17 Pro, A19 Pro — CoreAIChat pipelined GPU engine, greedy)
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+
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+ | bundle | decode | prefill | resident | load |
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+ |---|---:|---:|---:|---:|
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+ | **`gpu-pipelined/` (AOT h18p)** | **17 tok/s** | **13 tok/s** | **~2.1 GB** | 9 s cold |
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+
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+ Headroom ~4.3 GB, no jetsam. An int4 8B would need ~5–6 GB resident — the ternary weight stream is
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+ the win. On **M4 Max** the same graph decodes **62.7 tok/s** and is **token-identical** to the torch
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+ ternary reference (3/3 probe prompts, greedy).
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+
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+ ## What's ternary here
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+
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+ `BitCPM-CANN-8B` ships its ternary weights as **TQ2_0** (2 bits/weight): per 256-element block along
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+ the reduction axis, each weight is a code in {-1, 0, +1} times one fp16 scale. The **224 transformer
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+ linears** (q/k/v/o + gate/up/down × 32 layers) run a custom Metal kernel that packs **16 ternary
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+ codes into one uint32** and does a sign-add/subtract matvec with the per-block scale — **no codebook**.
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+ The embedding (Q4_K) and LM head (Q6_K) stay higher-precision. Quality retained vs full precision:
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+ **95.7–97.2%** (OpenBMB).
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+
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+ ## Run
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+
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+ In the zoo's **CoreAIChat** app (Model → "BitCPM-8B 1.58bit"), or via Foundation Models:
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+
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+ ```swift
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+ import FoundationModels
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+ import CoreAILanguageModels
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+ let model = try await CoreAILanguageModel(resourcesAt: bundleURL) // gpu-pipelined/ AOT h18p
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+ let session = LanguageModelSession(model: model)
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+ print(try await session.respond(to: "The capital of France is")) // -> "Paris."
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+ ```
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+
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+ Decode-only static bundle: set `COREAI_CHUNK_THRESHOLD=1` (prefill runs as pipelined S=1 steps). Chat
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+ is ChatML; eos `<|im_end|>` (73440). The `gpu-pipelined/` bundle is **AOT-compiled** for the h18p GPU
71
+ (`xcrun coreai-build compile … --preferred-compute gpu --architecture h18p`) — a custom-Metal-kernel
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+ graph survives AOT (outputs bit-identical to the source IR). ANE is not supported (GPU-only kernel).
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+
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+ ## License
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+
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+ Apache-2.0, inherited from [openbmb/BitCPM-CANN-8B](https://huggingface.co/openbmb/BitCPM-CANN-8B).
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+ This repository redistributes a converted Core AI artifact only.
gpu-pipelined/bitcpm_8b_decode_ternary_s1/bitcpm_8b_decode_ternary_s1.h18p.aimodelc/main-h18p-delegates/MPSGraph/mpsExecutable.mpsgraphpackage/manifest.plist ADDED
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