Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- README.md +106 -0
- config.json +1851 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +751 -0
- optiq_metadata.json +912 -0
- tokenizer.json +3 -0
- tokenizer_config.json +13 -0
.gitattributes
CHANGED
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@@ -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
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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@@ -0,0 +1,106 @@
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| 1 |
+
---
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| 2 |
+
base_model: zed-industries/zeta-2.1
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| 3 |
+
tags:
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| 4 |
+
- mlx
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| 5 |
+
- optiq
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| 6 |
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- quantized
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| 7 |
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- mixed-precision
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| 8 |
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- 4bit
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| 9 |
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- 8bit
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| 10 |
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- apple-silicon
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| 11 |
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- edit-prediction
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| 12 |
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- next-edit-suggestion
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| 13 |
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- code
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| 14 |
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license: apache-2.0
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| 15 |
+
language:
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| 16 |
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- en
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| 17 |
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library_name: mlx
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| 18 |
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pipeline_tag: text-generation
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| 19 |
+
---
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| 20 |
+
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| 21 |
+
# bouroo/zeta-2.1-OptiQ-4
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| 22 |
+
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| 23 |
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A 4.0-bits-per-weight target, mixed-precision MLX conversion of [zed-industries/zeta-2.1](https://huggingface.co/zed-industries/zeta-2.1), produced with [OptiQ](https://mlx-optiq.com/) using calibration-driven KL-divergence sensitivity analysis. Sensitive tensors are kept at 8-bit; robust tensors are quantized to 4-bit. A higher target BPW keeps more tensors at 8-bit (larger, higher fidelity); a lower target pushes more to 4-bit (smaller).
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| 24 |
+
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| 25 |
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> "4-bit" / "8-bit" here are per-tensor choices from a mixed-precision allocation, not a global bit-width. Achieved BPW is the size-weighted average.
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| 26 |
+
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| 27 |
+
## Variants
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| 28 |
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| 29 |
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This model is part of a target-BPW family. Pick the size/quality trade-off you want:
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| 30 |
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| 31 |
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| Variant | Target BPW | Achieved BPW | 8-bit tensors | 4-bit tensors | Size |
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| 32 |
+
|---|---|---|---|---|---|
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| 33 |
+
| [-OptiQ-4](https://huggingface.co/bouroo/zeta-2.1-OptiQ-4) | 4.0 | 4.692 | 75 | 150 | 5.23 |
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| 34 |
+
| [-OptiQ-5](https://huggingface.co/bouroo/zeta-2.1-OptiQ-5) | 5.0 | 5.279 | 104 | 121 | 5.75 |
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| 35 |
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| [-OptiQ-6](https://huggingface.co/bouroo/zeta-2.1-OptiQ-6) | 6.0 | 6.145 | 150 | 75 | 6.52 |
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| 36 |
+
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| 37 |
+
## Quantization Details
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| 38 |
+
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| 39 |
+
| Property | Value |
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| 40 |
+
|---|---|
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| 41 |
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| Method | optiq (calibration-driven KL sensitivity) |
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| 42 |
+
| Target bits per weight | 4.0 |
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| 43 |
+
| Achieved bits per weight | 4.692 |
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| 44 |
+
| Candidate bits | 4, 8 |
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| 45 |
+
| Tensors 8-bit (sensitive) | 75 |
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| 46 |
+
| Tensors 4-bit (robust) | 150 |
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| 47 |
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| Total quantized tensors | 225 |
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| 48 |
+
| Group size | 64 |
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| 49 |
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| Reference signal | bf16 |
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| 50 |
+
| Calibration samples | 8 (OptiQ mix) |
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| 51 |
+
| Size on disk | 5.23 GB |
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| 52 |
+
|
| 53 |
+
Per-tensor bit allocation is recorded in `optiq_metadata.json` and embedded in `config.json` under `quantization`. All three variants share the **same** sensitivity analysis (one calibration sweep); only the allocation target differs.
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| 54 |
+
|
| 55 |
+
## About the base model
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| 56 |
+
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| 57 |
+
[Zeta 2.1](https://huggingface.co/zed-industries/zeta-2.1) is a **code edit prediction model** (next-edit suggestion) finetuned from `ByteDance-Seed/Seed-Coder-8B-Base`. Given code context, edit history and an editable region around the cursor, it predicts the rewritten content of the region. It is an 8B-parameter dense Llama-architecture model (32 layers, 4096 hidden, GQA with 8 KV heads), trained in BF16 with a 32k context window.
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| 58 |
+
|
| 59 |
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### Prompt format
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| 60 |
+
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| 61 |
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The model uses **SPM (suffix-prefix-middle)** style prompting with numbered multi-region markers for editable regions.
|
| 62 |
+
|
| 63 |
+
```
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| 64 |
+
<[fim-suffix]> code after editable region <[fim-prefix]>
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| 65 |
+
<filename>related/file.py related file content <filename>
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| 66 |
+
edit_history
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| 67 |
+
--- a/some_file.py
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| 68 |
+
+++ b/some_file.py
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| 69 |
+
-old
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| 70 |
+
+new
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| 71 |
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<filename>path/to/target_file.py code before editable region <|marker_1|> code needs to<|user_cursor|> rewritten <|marker_2|> <[fim-middle]>
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| 72 |
+
```
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| 73 |
+
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| 74 |
+
Expected output (no backticks): `<|marker_1|> revised content of the editable region <|marker_2|>`.
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| 75 |
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|
| 76 |
+
## Usage
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| 77 |
+
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| 78 |
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### MLX (mlx_lm)
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| 79 |
+
|
| 80 |
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```python
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| 81 |
+
from mlx_lm import load, generate
|
| 82 |
+
model, tokenizer = load("bouroo/zeta-2.1-OptiQ-4")
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| 83 |
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print(generate(model, tokenizer, prompt="def fibonacci(n):\n ", max_tokens=128))
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| 84 |
+
```
|
| 85 |
+
|
| 86 |
+
### OptiQ serve
|
| 87 |
+
|
| 88 |
+
```bash
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| 89 |
+
pip install mlx-optiq
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| 90 |
+
optiq serve --model bouroo/zeta-2.1-OptiQ-4
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| 91 |
+
```
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| 92 |
+
|
| 93 |
+
### LM Studio
|
| 94 |
+
|
| 95 |
+
LM Studio supports MLX models on Apple Silicon:
|
| 96 |
+
|
| 97 |
+
```bash
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| 98 |
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lms get https://huggingface.co/bouroo/zeta-2.1-OptiQ-4
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| 99 |
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lms load bouroo/zeta-2.1-OptiQ-4
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| 100 |
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```
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| 101 |
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| 102 |
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Or search `bouroo/zeta-2.1-OptiQ-4` in the LM Studio in-app Hugging Face browser.
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| 103 |
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|
| 104 |
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---
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| 105 |
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| 106 |
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Quantized and published under Apache-2.0, inherited from the base model.
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config.json
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| 1 |
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| 751 |
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}
|
optiq_metadata.json
ADDED
|
@@ -0,0 +1,912 @@
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| 1 |
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| 2 |
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|
| 718 |
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| 719 |
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|
| 720 |
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|
| 721 |
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|
| 722 |
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|
| 724 |
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|
| 725 |
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|
| 726 |
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| 727 |
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|
| 728 |
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| 729 |
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|
| 730 |
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| 731 |
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|
| 732 |
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|
| 733 |
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|
| 734 |
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| 735 |
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|
| 736 |
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|
| 737 |
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|
| 738 |
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| 739 |
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|
| 740 |
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| 741 |
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|
| 742 |
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| 743 |
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|
| 744 |
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|
| 745 |
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|
| 746 |
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| 747 |
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| 748 |
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|
| 749 |
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|
| 750 |
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| 751 |
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|
| 752 |
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|
| 753 |
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|
| 754 |
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| 755 |
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|
| 756 |
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|
| 757 |
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|
| 758 |
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| 759 |
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|
| 760 |
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|
| 761 |
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|
| 762 |
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| 763 |
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|
| 764 |
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|
| 765 |
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|
| 766 |
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| 767 |
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|
| 768 |
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|
| 769 |
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|
| 770 |
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| 771 |
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|
| 772 |
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|
| 773 |
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|
| 774 |
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| 775 |
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|
| 776 |
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|
| 777 |
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|
| 778 |
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| 779 |
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|
| 780 |
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|
| 781 |
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|
| 782 |
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| 783 |
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|
| 784 |
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|
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|
| 786 |
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| 787 |
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| 788 |
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| 789 |
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|
| 790 |
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|
| 792 |
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|
| 794 |
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| 796 |
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|
| 798 |
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| 799 |
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|
| 800 |
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|
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|
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| 804 |
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|
| 806 |
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| 807 |
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|
| 808 |
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|
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|
| 810 |
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| 811 |
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|
| 812 |
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|
| 813 |
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|
| 814 |
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|
| 815 |
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|
| 816 |
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|
| 817 |
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|
| 818 |
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| 819 |
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|
| 820 |
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|
| 821 |
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|
| 822 |
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| 823 |
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|
| 824 |
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|
| 825 |
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|
| 826 |
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|
| 827 |
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|
| 828 |
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|
| 829 |
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|
| 830 |
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|
| 831 |
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|
| 832 |
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|
| 833 |
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|
| 834 |
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|
| 835 |
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|
| 836 |
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|
| 837 |
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|
| 838 |
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|
| 839 |
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|
| 840 |
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|
| 841 |
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|
| 842 |
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| 843 |
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|
| 844 |
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|
| 845 |
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|
| 846 |
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|
| 847 |
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|
| 848 |
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|
| 849 |
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|
| 850 |
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|
| 851 |
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|
| 852 |
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|
| 853 |
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|
| 854 |
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|
| 855 |
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|
| 856 |
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|
| 857 |
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|
| 858 |
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|
| 859 |
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|
| 860 |
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|
| 861 |
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|
| 862 |
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|
| 863 |
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|
| 864 |
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|
| 865 |
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|
| 866 |
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},
|
| 867 |
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|
| 868 |
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|
| 869 |
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|
| 870 |
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|
| 871 |
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|
| 872 |
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|
| 873 |
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|
| 874 |
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|
| 875 |
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|
| 876 |
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|
| 877 |
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|
| 878 |
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|
| 879 |
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|
| 880 |
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|
| 881 |
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|
| 882 |
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|
| 883 |
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|
| 884 |
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|
| 885 |
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|
| 886 |
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|
| 887 |
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|
| 888 |
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|
| 889 |
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|
| 890 |
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|
| 891 |
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|
| 892 |
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|
| 893 |
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|
| 894 |
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},
|
| 895 |
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|
| 896 |
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|
| 897 |
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|
| 898 |
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},
|
| 899 |
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"model.layers.0.self_attn.v_proj": {
|
| 900 |
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"bits": 8,
|
| 901 |
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|
| 902 |
+
},
|
| 903 |
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"model.layers.0.self_attn.k_proj": {
|
| 904 |
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|
| 905 |
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|
| 906 |
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|
| 907 |
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|
| 908 |
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|
| 909 |
+
"group_size": 64
|
| 910 |
+
}
|
| 911 |
+
}
|
| 912 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:db6520146c388c495a98bbea62ff6d00c0a8935bed33622e33bb33ec71aaafed
|
| 3 |
+
size 11891696
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"backend": "tokenizers",
|
| 3 |
+
"bos_token": "<[begin▁of▁sentence]>",
|
| 4 |
+
"clean_up_tokenization_spaces": false,
|
| 5 |
+
"eos_token": "<[end▁of▁sentence]>",
|
| 6 |
+
"is_local": true,
|
| 7 |
+
"local_files_only": false,
|
| 8 |
+
"model_max_length": 32768,
|
| 9 |
+
"pad_token": "<[PAD▁TOKEN]>",
|
| 10 |
+
"padding_side": "left",
|
| 11 |
+
"sep_token": "<[SEP▁TOKEN]>",
|
| 12 |
+
"tokenizer_class": "TokenizersBackend"
|
| 13 |
+
}
|