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Model: ministral/Ministral-3b-instruct
Source: Original Platform

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README.md

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+---
+library_name: transformers
+inference:
+  parameters:
+    temperature: 1
+    top_p: 0.95
+    top_k: 40
+    repetition_penalty: 1.2
+license: apache-2.0
+language:
+- en
+pipeline_tag: text-generation
+---
+
+
+![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/642b04e4ecec03b44649e318/AeJJFLB8s_wIaCKpNfac1.jpeg)
+
+
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+Ministral is a series of language model, build with same architecture as the famous Mistral model, but with less size.
+
+- **Model type:** A 3B parameter GPT-like model fine-tuned on a mix of publicly available, synthetic datasets.
+- **Language(s) (NLP):** Primarily English
+- **License:** Apache 2.0
+- **Finetuned from model:** [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1)

config.json

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+{
+  "_name_or_path": "",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
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+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 131072,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 14,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.38.2",
+  "use_cache": false,
+  "vocab_size": 32000
+}

generation_config.json

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+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.38.2"
+}

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