Upload Zen3 Reranker Medium weights

.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

README.md

@@ -5,6 +5,7 @@ tags:
   - reranker
   - text-classification
   - retrieval
+  - multilingual
   - zen
   - zen3
   - hanzo
@@ -13,27 +14,29 @@ license: apache-2.0
 
 # Zen3 Reranker Medium
 
-**Zen LM by Hanzo AI** — High-accuracy cross-encoder reranker for precise result ranking.
+**Zen LM by Hanzo AI** — Cross-encoder reranker for search result refinement and RAG pipelines. 560M parameters.
 
 ## Specs
 
 | Property | Value |
 |----------|-------|
-| Parameters | 335M |
-| Context | 512 |
+| Parameters | 560M |
+| Context Length | 512 tokens |
 | Architecture | Zen MoDE (Mixture of Distilled Experts) |
 | Generation | Zen3 |
 
-## API Access
+## Usage
+
+```python
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
 
-```bash
-curl https://api.hanzo.ai/v1/chat/completions \
-  -H "Authorization: Bearer $HANZO_API_KEY" \
-  -H "Content-Type: application/json" \
-  -d '{"model": "zen3-reranker-medium", "messages": [{"role": "user", "content": "Hello"}]}'
+model = AutoModelForSequenceClassification.from_pretrained("zenlm/zen3-reranker-medium")
+tokenizer = AutoTokenizer.from_pretrained("zenlm/zen3-reranker-medium")
 ```
 
-Get your API key at [console.hanzo.ai](https://console.hanzo.ai) — $5 free credit on signup.
+## API Access
+
+Available via the Hanzo AI API at [console.hanzo.ai](https://console.hanzo.ai) — $5 free credit on signup.
 
 ## License
 

config.json

@@ -0,0 +1,34 @@
+{
+  "_name_or_path": "xlm-roberta-large",
+  "architectures": [
+    "XLMRobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "LABEL_0"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "label2id": {
+    "LABEL_0": 0
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "xlm-roberta",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.30.0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

model.safetensors

@@ -0,0 +1,3 @@
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+size 2239618772

pytorch_model.bin

@@ -0,0 +1,3 @@
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+size 2239705845

sentencepiece.bpe.model

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+oid sha256:cfc8146abe2a0488e9e2a0c56de7952f7c11ab059eca145a0a727afce0db2865
+size 5069051

special_tokens_map.json

@@ -0,0 +1,15 @@
+{
+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "unk_token": "<unk>"
+}

tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9eb652ac4e40cc093272bbbe0f55d521cf67570060227109b5cdc20945a4489e
+size 17098107

tokenizer_config.json

@@ -0,0 +1,20 @@
+{
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": {
+    "__type": "AddedToken",
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "XLMRobertaTokenizer",
+  "unk_token": "<unk>"
+}