Upload Multilingual-e5-large-Q8

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

LICENSE

@@ -0,0 +1,25 @@
+MIT License
+
+Copyright (c) Microsoft Corporation and contributors
+Copyright (c) Liang Wang, Nan Yang, Xiaolong Huang, Linjun Yang, Rangan Majumder, Furu Wei and contributors
+Copyright (c) 2026 MAVIS / R.E.V.I.S. contributors for q8 packaging metadata and conversion scripts, if any
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files, model files, weights,
+configuration files, tokenizer files, and related materials (the "Software"),
+to deal in the Software without restriction, including without limitation the
+rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice, this permission notice, and any attribution notices
+included with the Software shall be included in all copies or substantial
+portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS, COPYRIGHT HOLDERS, OR CONTRIBUTORS BE LIABLE FOR ANY CLAIM, DAMAGES
+OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE,
+ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
+DEALINGS IN THE SOFTWARE.

NOTICE

@@ -0,0 +1,41 @@
+NOTICE
+
+This repository redistributes an 8-bit quantized package derived from:
+
+    intfloat/multilingual-e5-large
+    https://huggingface.co/intfloat/multilingual-e5-large
+
+The original model is released under the MIT License.
+
+Original authors / associated paper:
+
+    Liang Wang, Nan Yang, Xiaolong Huang, Linjun Yang, Rangan Majumder, Furu Wei
+    Multilingual E5 Text Embeddings: A Technical Report
+
+Base architecture:
+
+    XLM-RoBERTa large
+
+Embedding dimension:
+
+    1024
+
+Modification notice:
+
+    This repository contains a R.E.V.I.S. q8 quantized distribution.
+    Selected 2D weight tensors were converted to symmetric per-row int8
+    representation with per-row scale tensors.
+
+    No fine-tuning, additional training, or architecture-level modification
+    has been applied.
+
+Redistributor:
+
+    MAVIS / R.E.V.I.S.
+
+Purpose:
+
+    Local semantic embedding, semantic recall, RAG retrieval, and multilingual
+    semantic search in the R.E.V.I.S. local Cognitive OS ecosystem.
+
+The upstream MIT License text is preserved in LICENSE.

README.md

@@ -0,0 +1,128 @@
+---
+library_name: mlx
+license: mit
+pipeline_tag: feature-extraction
+base_model: intfloat/multilingual-e5-large
+tags:
+- mlx
+- embeddings
+- sentence-transformers
+- xlm-roberta
+- multilingual
+- quantized
+- int8
+- q8
+- revis
+---
+
+# mavis-ai/multilingual-e5-large-q8
+
+This repository contains an 8-bit quantized MLX-compatible distribution of `intfloat/multilingual-e5-large`, prepared for use with **R.E.V.I.S.** as its local semantic embedding model.
+
+The model is intended for local text embedding, semantic recall, RAG retrieval, and multilingual semantic search workflows.
+
+## Important Notice
+
+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.
+
+This package is **not** a new embedding model and has **not** been fine-tuned. It is a quantized redistribution of `intfloat/multilingual-e5-large`.
+
+For the original model card, training details, intended usage, and evaluation information, refer to the official upstream model:
+
+- Original model: <https://huggingface.co/intfloat/multilingual-e5-large>
+- Base architecture: XLM-RoBERTa large
+- Embedding size: 1024
+
+## Quantization
+
+This package stores selected 2D weight tensors using a R.E.V.I.S. q8 format:
+
+- Quantization type: symmetric per-row int8
+- Scale format: per-row scale tensor
+- Expected dequantization: `weight = qweight.astype(float16) * scale[:, None].astype(float16)`
+
+Typical tensor layout:
+
+```text
+encoder.layer.0.attention.self.query.weight.qweight
+encoder.layer.0.attention.self.query.weight.scale
+```
+
+Non-quantized tensors, such as LayerNorm parameters, bias tensors, and other small metadata tensors, are preserved in their original floating-point representation.
+
+This format is optimized for smaller download and storage size. In the current R.E.V.I.S. runtime, q8 tensors may be dequantized to floating point at load time for compatibility with the existing embedding forward path.
+
+## Optimized for R.E.V.I.S. (Local Cognitive OS)
+
+We host this model package to serve as the local semantic embedding engine for **R.E.V.I.S.**
+
+**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.
+
+If you are interested in pushing the absolute limits of local AI and open-weight models, check out our project.
+
+- Official Website: <https://mavis-ai.co.jp/revis/>
+- Watch the 13-min Raw Demo (Multi-node Dynamic RAG): <https://x.gd/LxaBF>
+- Follow our updates on X: <https://x.com/mavis_ai_jp>
+
+## Usage Notes
+
+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.
+
+If you use this package outside R.E.V.I.S., refer to the upstream E5 instructions for recommended prompt prefixes and pooling behavior.
+
+## Files
+
+Recommended repository files:
+
+```text
+README.md
+LICENSE
+NOTICE
+weights.00.safetensors
+config.json
+tokenizer.json
+tokenizer_config.json
+special_tokens_map.json
+quantization.json
+```
+
+## License
+
+This repository redistributes a quantized package derived from `intfloat/multilingual-e5-large`, which is released under the **MIT License**.
+
+The upstream copyright notice and MIT License text are preserved in `LICENSE`.
+
+Additional attribution and redistribution notes are included in `NOTICE`.
+
+## Attribution
+
+Original model:
+
+```text
+intfloat/multilingual-e5-large
+https://huggingface.co/intfloat/multilingual-e5-large
+```
+
+Original authors / associated paper:
+
+```text
+Liang Wang, Nan Yang, Xiaolong Huang, Linjun Yang, Rangan Majumder, Furu Wei
+Multilingual E5 Text Embeddings: A Technical Report
+```
+
+R.E.V.I.S. q8 package:
+
+```text
+Prepared and redistributed by MAVIS / R.E.V.I.S.
+Quantization: symmetric per-row int8 q8 package for local MLX embedding runtime
+```
+
+## Modification Notice
+
+Compared with the upstream `intfloat/multilingual-e5-large` release, this repository applies the following packaging modification:
+
+```text
+Selected 2D weight tensors were quantized to symmetric per-row int8 q8 representation.
+```
+
+No fine-tuning, additional training, or architecture-level modification has been applied.

config.json

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+  "output_hidden_states": false,
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+  "torchscript": false,
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+  "is_encoder_decoder": false,
+  "is_decoder": false,
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+  "add_cross_attention": false,
+  "tie_encoder_decoder": false,
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+  "bad_words_ids": null,
+  "num_return_sequences": 1,
+  "chunk_size_feed_forward": 0,
+  "output_scores": false,
+  "return_dict_in_generate": false,
+  "forced_bos_token_id": null,
+  "forced_eos_token_id": null,
+  "remove_invalid_values": false,
+  "exponential_decay_length_penalty": null,
+  "suppress_tokens": null,
+  "begin_suppress_tokens": null,
+  "architectures": [
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+  "finetuning_task": null,
+  "id2label": {
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+    "1": "LABEL_1"
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+  "sep_token_id": null,
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+  "task_specific_params": null,
+  "problem_type": null,
+  "_name_or_path": "/Users/katopz/.cache/huggingface/hub/models--intfloat--multilingual-e5-large/snapshots/9f78368af0062735ba99812349c562316e29f719",
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+  "model_type": "xlm-roberta",
+  "output_past": true,
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+  "hidden_size": 1024,
+  "num_hidden_layers": 24,
+  "num_attention_heads": 16,
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+  "initializer_range": 0.02,
+  "layer_norm_eps": 1e-05,
+  "position_embedding_type": "absolute",
+  "use_cache": true,
+  "classifier_dropout": null,
+  "revis_quantization": {
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+    "bits": 8,
+    "type": "symmetric-per-row",
+    "manifest": "quantization.json"
+  }
+}

quantization.json

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