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Model: alamios/Mistral-Small-3.1-DRAFT-0.5B
Source: Original Platform

.gitattributes

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README.md

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+---
+license: apache-2.0
+language:
+- en
+- fr
+- de
+- es
+- it
+- pt
+base_model:
+- alamios/Qwenstral-Small-3.1-0.5B
+datasets:
+- alamios/Mistral-Small-24B-Instruct-2501-Conversations
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- qwen
+- qwen2.5
+- mistral
+- mistral-small
+- mistral-small-3.1
+---
+
+# Mistral-Small-3.1-DRAFT-0.5B
+
+This model is meant to be used as draft model for speculative decoding with [mistralai/Mistral-Small-3.1-24B-Instruct-2503](https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503) or [mistralai/Mistral-Small-24B-Instruct-2501](https://huggingface.co/mistralai/Mistral-Small-24B-Instruct-2501)
+
+# Data info
+
+The data are Mistral's outputs and includes all kind of tasks from various datasets in English, French, German, Spanish, Italian and Portuguese. It has been trained for 2 epochs on 20k unique examples, for a total of 12 million tokens per epoch.

config.json

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+{
+  "_name_or_path": "alamios/Mistral-Small-3.1-DRAFT-0.5B",
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 896,
+  "initializer_range": 0.02,
+  "intermediate_size": 4864,
+  "max_position_embeddings": 32768,
+  "max_window_layers": 24,
+  "model_type": "qwen2",
+  "num_attention_heads": 14,
+  "num_hidden_layers": 24,
+  "num_key_value_heads": 2,
+  "pad_token_id": 11,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.48.3",
+  "use_cache": true,
+  "use_mrope": false,
+  "use_sliding_window": false,
+  "vocab_size": 131072
+}

configuration.json

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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

generation_config.json

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+{
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "max_new_tokens": 2048,
+  "temperature": 0.15,
+  "transformers_version": "4.48.3"
+}

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tokenizer.json

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