We kinda don't have an fp16 of this anywhere do we?

README.md

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+---
+base_model:
+- mistralai/Mixtral-8x7B-Instruct-v0.1
+tags:
+- mergekit
+- merge
+
+---
+# Air-Striker-Mixtral-8x7B-ZLoss-Instruct
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## Merge Details
+### Merge Method
+
+This model was merged using the [linear](https://arxiv.org/abs/2203.05482) merge method.
+
+### Models Merged
+
+The following models were included in the merge:
+* [mistralai/Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1)
+* ./Air-Striker-Mixtral-8x7B-ZLoss-noninstruct/merged
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: mistralai/Mixtral-8x7B-Instruct-v0.1
+    parameters:
+      weight: 0.5
+  - model: ./Air-Striker-Mixtral-8x7B-ZLoss-noninstruct/merged
+    parameters:
+      weight: 0.5
+merge_method: linear
+dtype: bfloat16
+
+```

config.json

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+{
+  "_name_or_path": "mistralai/Mixtral-8x7B-Instruct-v0.1",
+  "architectures": [
+    "MixtralForCausalLM"
+  ],
+  "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": 32768,
+  "model_type": "mixtral",
+  "num_attention_heads": 32,
+  "num_experts_per_tok": 2,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "num_local_experts": 8,
+  "output_router_logits": false,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000.0,
+  "router_aux_loss_coef": 0.02,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.38.0",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_config.yml

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+models:
+  - model: mistralai/Mixtral-8x7B-Instruct-v0.1
+    parameters:
+      weight: 0.5
+  - model: ./Air-Striker-Mixtral-8x7B-ZLoss-noninstruct/merged
+    parameters:
+      weight: 0.5
+merge_method: linear
+dtype: bfloat16

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special_tokens_map.json

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tokenizer.model

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tokenizer_config.json

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