commit 9e58038744c40537fbe2f6448e4de0bf65a9ab01
Author: ModelHub XC <noreply@modelhub.org.cn>
Date:   Wed May 13 09:20:31 2026 +0800

    初始化项目，由ModelHub XC社区提供模型
    
    Model: maywell/Synatra-10.7B-v0.4
    Source: Original Platform

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diff --git a/README.md b/README.md
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+---
+license: cc-by-sa-4.0
+---
+
+# **Synatra-10.7B-v0.4🐧**  
+![Synatra-10.7B-v0.4](./Synatra.png)
+
+# Join our discord
+
+[Server Link](https://discord.gg/MrBt3PXdXc)
+
+# **License**
+
+The "Model" is completely free (ie. base model, derivates, merges/mixes) to use for non-commercial purposes as long as the the included **cc-by-sa-4.0** license in any parent repository, and the non-commercial use statute remains, regardless of other models' licences. 
+# **Model Details**
+
+**Base Model**  
+[upstage/SOLAR-10.7B-v1.0](https://huggingface.co/upstage/SOLAR-10.7B-v1.0)  
+
+**Trained On**  
+A100 80GB * 1
+
+**Instruction format**
+
+It follows **Alpaca** format.
+
+# **Model Benchmark**
+
+
+## Ko-LLM-Leaderboard
+
+On Benchmarking...
+
+# **Implementation Code**
+
+Since, chat_template already contains insturction format above.
+You can use the code below.
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+device = "cuda" # the device to load the model onto
+
+model = AutoModelForCausalLM.from_pretrained("maywell/Synatra-10.7B-v0.4")
+tokenizer = AutoTokenizer.from_pretrained("maywell/Synatra-10.7B-v0.4")
+
+messages = [
+    {"role": "user", "content": "바나나는 원래 하얀색이야?"},
+]
+
+encodeds = tokenizer.apply_chat_template(messages, return_tensors="pt")
+
+model_inputs = encodeds.to(device)
+model.to(device)
+
+generated_ids = model.generate(model_inputs, max_new_tokens=1000, do_sample=True)
+decoded = tokenizer.batch_decode(generated_ids)
+print(decoded[0])
+```
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diff --git a/Synatra.png b/Synatra.png
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+{
+  "_name_or_path": "maywell/Synatra-10.7B-v0.4",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 4096,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 48,
+  "num_key_value_heads": 8,
+  "pad_token_id": 2,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.36.2",
+  "use_cache": false,
+  "vocab_size": 32000
+}
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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
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+  "pad_token_id": 2,
+  "transformers_version": "4.36.2",
+  "use_cache": false
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