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  1. .gitattributes +1 -0
  2. LICENSE +25 -0
  3. NOTICE +41 -0
  4. README.md +133 -0
  5. config.json +90 -0
  6. quantization.json +3359 -0
  7. special_tokens_map.json +51 -0
  8. tokenizer.json +3 -0
  9. tokenizer_config.json +54 -0
  10. weights.00.safetensors +3 -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
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *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
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
LICENSE ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ MIT License
2
+
3
+ Copyright (c) Microsoft Corporation and contributors
4
+ Copyright (c) Liang Wang, Nan Yang, Xiaolong Huang, Linjun Yang, Rangan Majumder, Furu Wei and contributors
5
+ Copyright (c) 2026 MAVIS / R.E.V.I.S. contributors for q4 packaging metadata and conversion scripts, if any
6
+
7
+ Permission is hereby granted, free of charge, to any person obtaining a copy
8
+ of this software and associated documentation files, model files, weights,
9
+ configuration files, tokenizer files, and related materials (the "Software"),
10
+ to deal in the Software without restriction, including without limitation the
11
+ rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
12
+ copies of the Software, and to permit persons to whom the Software is
13
+ furnished to do so, subject to the following conditions:
14
+
15
+ The above copyright notice, this permission notice, and any attribution notices
16
+ included with the Software shall be included in all copies or substantial
17
+ portions of the Software.
18
+
19
+ THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
20
+ IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
21
+ FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
22
+ AUTHORS, COPYRIGHT HOLDERS, OR CONTRIBUTORS BE LIABLE FOR ANY CLAIM, DAMAGES
23
+ OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE,
24
+ ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
25
+ DEALINGS IN THE SOFTWARE.
NOTICE ADDED
@@ -0,0 +1,41 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ NOTICE
2
+
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+ This repository redistributes a 4-bit quantized package derived from:
4
+
5
+ intfloat/multilingual-e5-large
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+ https://huggingface.co/intfloat/multilingual-e5-large
7
+
8
+ The original model is released under the MIT License.
9
+
10
+ Original authors / associated paper:
11
+
12
+ Liang Wang, Nan Yang, Xiaolong Huang, Linjun Yang, Rangan Majumder, Furu Wei
13
+ Multilingual E5 Text Embeddings: A Technical Report
14
+
15
+ Base architecture:
16
+
17
+ XLM-RoBERTa large
18
+
19
+ Embedding dimension:
20
+
21
+ 1024
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+
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+ Modification notice:
24
+
25
+ This repository contains a R.E.V.I.S. Q4 quantized distribution.
26
+ Selected 2D weight tensors were converted to the MLX-native affine
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+ packed integer representation described in quantization.json.
28
+
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+ No fine-tuning, additional training, or architecture-level modification
30
+ has been applied.
31
+
32
+ Redistributor:
33
+
34
+ MAVIS / R.E.V.I.S.
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+
36
+ Purpose:
37
+
38
+ Local semantic embedding, semantic recall, RAG retrieval, and multilingual
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+ semantic search in the R.E.V.I.S. local Cognitive OS ecosystem.
40
+
41
+ The upstream MIT License text is preserved in LICENSE.
README.md ADDED
@@ -0,0 +1,133 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: mlx
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+ license: mit
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+ pipeline_tag: feature-extraction
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+ base_model: intfloat/multilingual-e5-large
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+ tags:
7
+ - mlx
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+ - embeddings
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+ - sentence-transformers
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+ - xlm-roberta
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+ - multilingual
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+ - quantized
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+ - int4
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+ - q4
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+ - revis
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+ ---
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+
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+ # mavis-ai/Multilingual-e5-large-Q4
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+
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+ This repository contains a 4-bit quantized MLX-compatible distribution of `intfloat/multilingual-e5-large`, prepared for use with **R.E.V.I.S.** as a compact local semantic embedding model.
21
+
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+ The model is intended for local text embedding, semantic recall, RAG retrieval, and multilingual semantic search workflows.
23
+
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+ ## Important Notice
25
+
26
+ This repository is hosted primarily as a dedicated download source for the R.E.V.I.S. application ecosystem. You are free to download and use this model package for your own local embedding or MLX workflows, subject to the MIT License and the attribution notices included in this repository.
27
+
28
+ This package is **not** a new embedding model and has **not** been fine-tuned. It is a quantized redistribution of `intfloat/multilingual-e5-large`.
29
+
30
+ For the original model card, training details, intended usage, and evaluation information, refer to the official upstream model:
31
+
32
+ - Original model: <https://huggingface.co/intfloat/multilingual-e5-large>
33
+ - Base architecture: XLM-RoBERTa large
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+ - Embedding size: 1024
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+
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+ ## Quantization
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+
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+ This package stores selected 2D weight tensors using a R.E.V.I.S. MLX-native Q4 format:
39
+
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+ - Quantization type: `mlx-native-affine`
41
+ - Bits: `4`
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+ - Group size: `64`
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+ - Mode: `affine`
44
+ - Stored tensors: packed `.qweight` plus `.scales` and `.biases`
45
+ - Expected linear path: `mx.quantized_matmul(..., qweight, scales=scales, biases=biases, group_size=64, bits=4, mode="affine")`
46
+ - Expected embedding lookup path: gather the packed rows first, then `mx.dequantize(..., scales=scales, biases=biases, group_size=64, bits=4, mode="affine")`
47
+
48
+ Typical tensor layout:
49
+
50
+ ```text
51
+ encoder.layer.0.attention.self.query.weight.qweight
52
+ encoder.layer.0.attention.self.query.weight.scales
53
+ encoder.layer.0.attention.self.query.weight.biases
54
+ ```
55
+
56
+ The `.qweight` tensors are MLX packed integer tensors, not plain row-major integer arrays. Non-quantized tensors, such as LayerNorm parameters, bias tensors, and other small metadata tensors, are preserved in their original floating-point representation.
57
+
58
+ This format is optimized for minimum download and storage size. In R.E.V.I.S. it is intended for keyword-focused semantic retrieval where the LLM first distills source text into entities, categories, and aspects before embedding. Runtimes should read `quantization.json` for the exact tensor names and quantization parameters before loading the weights.
59
+
60
+ ## Optimized for R.E.V.I.S. (Local Cognitive OS)
61
+
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+ We host this model package to serve as the local semantic embedding engine for **R.E.V.I.S.**
63
+
64
+ **R.E.V.I.S.** is a 100% local Cognitive OS for Multi-Agentic AI. It transforms your Mac devices into a distributed Agentic Swarm via zero-config Wi-Fi clustering, allowing you to run heavy AI workloads—like recursive web research, dynamic RAG generation, and multi-step logic—without killing single-machine performance.
65
+
66
+ If you are interested in pushing the absolute limits of local AI and open-weight models, check out our project.
67
+
68
+ - Official Website: <https://mavis-ai.co.jp/revis/>
69
+ - Watch the 13-min Raw Demo (Multi-node Dynamic RAG): <https://x.gd/LxaBF>
70
+ - Follow our updates on X: <https://x.com/mavis_ai_jp>
71
+
72
+ ## Usage Notes
73
+
74
+ For retrieval-style tasks, E5 models typically use different text prefixes for queries and passages. R.E.V.I.S. applies its own canonical query and passage formatting internally.
75
+
76
+ If you use this package outside R.E.V.I.S., refer to the upstream E5 instructions for recommended prompt prefixes and pooling behavior.
77
+
78
+ ## Files
79
+
80
+ Recommended repository files:
81
+
82
+ ```text
83
+ README.md
84
+ LICENSE
85
+ NOTICE
86
+ weights.00.safetensors
87
+ config.json
88
+ tokenizer.json
89
+ tokenizer_config.json
90
+ special_tokens_map.json
91
+ quantization.json
92
+ ```
93
+
94
+ ## License
95
+
96
+ This repository redistributes a quantized package derived from `intfloat/multilingual-e5-large`, which is released under the **MIT License**.
97
+
98
+ The upstream copyright notice and MIT License text are preserved in `LICENSE`.
99
+
100
+ Additional attribution and redistribution notes are included in `NOTICE`.
101
+
102
+ ## Attribution
103
+
104
+ Original model:
105
+
106
+ ```text
107
+ intfloat/multilingual-e5-large
108
+ https://huggingface.co/intfloat/multilingual-e5-large
109
+ ```
110
+
111
+ Original authors / associated paper:
112
+
113
+ ```text
114
+ Liang Wang, Nan Yang, Xiaolong Huang, Linjun Yang, Rangan Majumder, Furu Wei
115
+ Multilingual E5 Text Embeddings: A Technical Report
116
+ ```
117
+
118
+ R.E.V.I.S. Q4 package:
119
+
120
+ ```text
121
+ Prepared and redistributed by MAVIS / R.E.V.I.S.
122
+ Quantization: MLX-native affine Q4 package for local MLX embedding runtime
123
+ ```
124
+
125
+ ## Modification Notice
126
+
127
+ Compared with the upstream `intfloat/multilingual-e5-large` release, this repository applies the following packaging modification:
128
+
129
+ ```text
130
+ Selected 2D weight tensors were quantized to the R.E.V.I.S. MLX-native affine Q4 representation described in `quantization.json`.
131
+ ```
132
+
133
+ No fine-tuning, additional training, or architecture-level modification has been applied.
config.json ADDED
@@ -0,0 +1,90 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "return_dict": true,
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+ "output_hidden_states": false,
4
+ "output_attentions": false,
5
+ "torchscript": false,
6
+ "torch_dtype": "float32",
7
+ "use_bfloat16": false,
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+ "tf_legacy_loss": false,
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+ "pruned_heads": {},
10
+ "tie_word_embeddings": true,
11
+ "is_encoder_decoder": false,
12
+ "is_decoder": false,
13
+ "cross_attention_hidden_size": null,
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+ "add_cross_attention": false,
15
+ "tie_encoder_decoder": false,
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+ "max_length": 20,
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+ "min_length": 0,
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+ "do_sample": false,
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+ "early_stopping": false,
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+ "num_beams": 1,
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+ "num_beam_groups": 1,
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+ "diversity_penalty": 0.0,
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+ "temperature": 1.0,
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+ "top_k": 50,
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+ "top_p": 1.0,
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+ "typical_p": 1.0,
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+ "repetition_penalty": 1.0,
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+ "length_penalty": 1.0,
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+ "no_repeat_ngram_size": 0,
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+ "encoder_no_repeat_ngram_size": 0,
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+ "bad_words_ids": null,
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+ "num_return_sequences": 1,
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+ "chunk_size_feed_forward": 0,
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+ "output_scores": false,
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+ "return_dict_in_generate": false,
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+ "forced_bos_token_id": null,
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+ "forced_eos_token_id": null,
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+ "remove_invalid_values": false,
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+ "exponential_decay_length_penalty": null,
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+ "suppress_tokens": null,
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+ "begin_suppress_tokens": null,
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+ "architectures": [
43
+ "XLMRobertaModel"
44
+ ],
45
+ "finetuning_task": null,
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+ "id2label": {
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+ "0": "LABEL_0",
48
+ "1": "LABEL_1"
49
+ },
50
+ "label2id": {
51
+ "LABEL_0": 0,
52
+ "LABEL_1": 1
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+ },
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+ "tokenizer_class": null,
55
+ "prefix": null,
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+ "bos_token_id": 0,
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+ "pad_token_id": 1,
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+ "eos_token_id": 2,
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+ "sep_token_id": null,
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+ "decoder_start_token_id": null,
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+ "task_specific_params": null,
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+ "problem_type": null,
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+ "_name_or_path": "/Users/katopz/.cache/huggingface/hub/models--intfloat--multilingual-e5-large/snapshots/9f78368af0062735ba99812349c562316e29f719",
64
+ "transformers_version": "4.36.2",
65
+ "model_type": "xlm-roberta",
66
+ "output_past": true,
67
+ "vocab_size": 250002,
68
+ "hidden_size": 1024,
69
+ "num_hidden_layers": 24,
70
+ "num_attention_heads": 16,
71
+ "hidden_act": "gelu",
72
+ "intermediate_size": 4096,
73
+ "hidden_dropout_prob": 0.1,
74
+ "attention_probs_dropout_prob": 0.1,
75
+ "max_position_embeddings": 514,
76
+ "type_vocab_size": 1,
77
+ "initializer_range": 0.02,
78
+ "layer_norm_eps": 1e-05,
79
+ "position_embedding_type": "absolute",
80
+ "use_cache": true,
81
+ "classifier_dropout": null,
82
+ "revis_quantization": {
83
+ "format": "revis-xlm-roberta-e5-mlx-native-q4",
84
+ "bits": 4,
85
+ "group_size": 64,
86
+ "mode": "affine",
87
+ "type": "mlx-native-affine",
88
+ "manifest": "quantization.json"
89
+ }
90
+ }
quantization.json ADDED
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