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Model: SlimGroove/normistral-11b-warm-mlx
Source: Original Platform

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README.md

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+---
+license: apache-2.0
+language:
+- nb
+- nn
+- 'no'
+- se
+- sv
+- da
+- en
+- is
+- fo
+base_model: norallm/normistral-11b-warm
+library_name: mlx
+pipeline_tag: text-generation
+tags:
+- norwegian
+- sami
+- bokmaal
+- nynorsk
+- mlx
+---
+
+# SlimGroove/normistral-11b-warm-mlx
+
+This model [SlimGroove/normistral-11b-warm-mlx](https://huggingface.co/SlimGroove/normistral-11b-warm-mlx) was
+converted to MLX format from [norallm/normistral-11b-warm](https://huggingface.co/norallm/normistral-11b-warm)
+using mlx-lm version **0.29.1**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("SlimGroove/normistral-11b-warm-mlx")
+
+prompt = "hello"
+
+if tokenizer.chat_template is not None:
+    messages = [{"role": "user", "content": prompt}]
+    prompt = tokenizer.apply_chat_template(
+        messages, add_generation_prompt=True
+    )
+
+response = generate(model, tokenizer, prompt=prompt, verbose=True)
+```

config.json

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+{
+    "architectures": [
+        "MistralForCausalLM"
+    ],
+    "attention_dropout": 0.0,
+    "bos_token_id": 1,
+    "eos_token_id": 2,
+    "head_dim": 128,
+    "hidden_act": "silu",
+    "hidden_size": 5120,
+    "initializer_range": 0.02,
+    "intermediate_size": 14336,
+    "mask_token_id": 4,
+    "max_position_embeddings": 1024000,
+    "model_type": "mistral",
+    "num_attention_heads": 32,
+    "num_hidden_layers": 40,
+    "num_key_value_heads": 8,
+    "pad_token_id": 3,
+    "rms_norm_eps": 1e-05,
+    "rope_theta": 1000000.0,
+    "sliding_window": null,
+    "tie_word_embeddings": false,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.44.0.dev0",
+    "use_cache": true,
+    "vocab_size": 51200
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "pad_token_id": 3,
+  "transformers_version": "4.44.0.dev0"
+}

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special_tokens_map.json

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+  "eos_token": "</s>",
+  "extra_special_tokens": {},
+  "model_max_length": 1000000000000000019884624838656,
+  "tokenizer_class": "PreTrainedTokenizerFast",
+  "unk_token": "<unk>"
+}