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anemll
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DeepSeek-V4-Flash-FP4-FP8-SSD

Text Generation
GGUF
llama.cpp
deepseek-v4
deepseek-v4-flash
flash-moe
slot-bank
ssd
fp8
fp4
mxfp4
metal
conversational
Model card Files
xet
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  1. .cache/.DS_Store +0 -0
  2. .gitattributes +1 -0
  3. README.md +80 -0
  4. dense/flashmoe-package.json +856 -0
  5. dense/model-dense.gguf +3 -0
  6. flashmoe-package.yaml +43 -0
  7. sidecar/layer_000.bin +3 -0
  8. sidecar/layer_001.bin +3 -0
  9. sidecar/layer_002.bin +3 -0
  10. sidecar/layer_003.bin +3 -0
  11. sidecar/layer_004.bin +3 -0
  12. sidecar/layer_005.bin +3 -0
  13. sidecar/layer_006.bin +3 -0
  14. sidecar/layer_007.bin +3 -0
  15. sidecar/layer_008.bin +3 -0
  16. sidecar/layer_009.bin +3 -0
  17. sidecar/layer_010.bin +3 -0
  18. sidecar/layer_011.bin +3 -0
  19. sidecar/layer_012.bin +3 -0
  20. sidecar/layer_013.bin +3 -0
  21. sidecar/layer_014.bin +3 -0
  22. sidecar/layer_015.bin +3 -0
  23. sidecar/layer_016.bin +3 -0
  24. sidecar/layer_017.bin +3 -0
  25. sidecar/layer_018.bin +3 -0
  26. sidecar/layer_019.bin +3 -0
  27. sidecar/layer_020.bin +3 -0
  28. sidecar/layer_021.bin +3 -0
  29. sidecar/layer_022.bin +3 -0
  30. sidecar/layer_023.bin +3 -0
  31. sidecar/layer_024.bin +3 -0
  32. sidecar/layer_025.bin +3 -0
  33. sidecar/layer_026.bin +3 -0
  34. sidecar/layer_027.bin +3 -0
  35. sidecar/layer_028.bin +3 -0
  36. sidecar/layer_029.bin +3 -0
  37. sidecar/layer_030.bin +3 -0
  38. sidecar/layer_031.bin +3 -0
  39. sidecar/layer_032.bin +3 -0
  40. sidecar/layer_033.bin +3 -0
  41. sidecar/layer_034.bin +3 -0
  42. sidecar/layer_035.bin +3 -0
  43. sidecar/layer_036.bin +3 -0
  44. sidecar/layer_037.bin +3 -0
  45. sidecar/layer_038.bin +3 -0
  46. sidecar/layer_039.bin +3 -0
  47. sidecar/layer_040.bin +3 -0
  48. sidecar/layer_041.bin +3 -0
  49. sidecar/layer_042.bin +3 -0
  50. sidecar/manifest.json +0 -0
.cache/.DS_Store ADDED
Binary file (6.15 kB). View file
 
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* 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
 
 
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
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+ dense/model-dense.gguf filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,80 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: mit
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+ base_model:
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+ - deepseek-ai/DeepSeek-V4-Flash
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+ library_name: llama.cpp
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+ pipeline_tag: text-generation
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+ tags:
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+ - gguf
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+ - deepseek-v4
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+ - deepseek-v4-flash
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+ - flash-moe
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+ - slot-bank
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+ - ssd
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+ - fp8
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+ - fp4
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+ - mxfp4
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+ - metal
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+ ---
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+
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+ # DeepSeek V4 Flash FP4/FP8 SSD Flash-MoE Package
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+
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+ This repository contains an SSD Flash-MoE package for DeepSeek V4 Flash.
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+ It is intended for runtimes that can load a dense GGUF plus a routed expert
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+ sidecar.
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+
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+ ## Quantization
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+
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+ - Dense/shared tensors: native DeepSeek FP8, represented as `F8_E4M3_B128` in GGUF.
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+ - Routed MoE expert tensors: native DeepSeek FP4, represented as `MXFP4` in the sidecar manifest.
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+ - Embeddings, output, norms, routing metadata, and IDs may remain `BF16`, `F32`, or `I32` where appropriate.
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+
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+ The routed expert tensors are not stored in the dense GGUF. They are stored in
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+ the sidecar as layer-major binary banks.
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+
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+ ## Files
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+
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+ ```text
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+ dense/
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+ model-dense.gguf
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+ flashmoe-package.json
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+
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+ sidecar/
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+ manifest.json
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+ layer_000.bin
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+ ...
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+ layer_042.bin
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+ ```
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+
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+ ## Model Details
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+
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+ - Architecture: `deepseek4`
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+ - Blocks: `43`
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+ - Experts: `256`
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+ - Active experts per token: `6`
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+ - Context length: `1048576`
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+ - Dense GGUF tensors: `1199`
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+ - Routed expert sidecar entries: `129`
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+
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+ ## Example
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+
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+ ```bash
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+ ./build/bin/llama-cli \
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+ -m dense/model-dense.gguf \
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+ --moe-mode slot-bank \
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+ --moe-sidecar sidecar \
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+ --moe-slot-bank 96 \
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+ --moe-topk 6 \
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+ -ngl 999 \
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+ --moe-cache-io-split 4 \
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+ -c 8192 \
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+ -b 128 \
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+ -ub 1 \
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+ --no-warmup \
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+ -p "What is Apple Neural Engine?" \
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+ -n 256
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+ ```
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+
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+ This package is not a standalone dense-only GGUF. Use a Flash-MoE aware
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+ llama.cpp build that supports DeepSeek V4 Flash, slot-bank mode, and the
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+ native FP8/FP4 tensor types.
dense/flashmoe-package.json ADDED
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+ {
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+ "schema_version": 1,
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+ "kind": "flashmoe_dense_package",
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+ "generated_at": "2026-04-29T00:24:26.809130+00:00",
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+ "source": {
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+ "model_files": [
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+ "/Volumes/SN8100/DS/DeepSeek-V4-Flash-FP4-FP8-native.gguf"
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+ ],
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+ "sidecar_manifest": "/Volumes/SN8100/DS/DeepSeek-V4-Flash-FP4-FP8-native-sidecar/manifest.json",
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+ "layer_filter": null
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+ },
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+ "model": {
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+ "arch": "deepseek4",
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+ "name": "DeepSeek V4 Flash",
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+ "block_count": 43,
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+ "leading_dense_block_count": 0,
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+ "expert_used_count": 6,
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+ "context_length": 1048576,
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+ "embedding_length": 4096,
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+ "file_type": 41
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+ },
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+ "dense_model": {
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+ "path": "model-dense.gguf",
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+ "tensor_count": 1199,
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+ "routed_removed": {
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