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Model: inflatebot/helide-alpha-r5a
Source: Original Platform

.gitattributes

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README.md

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+---
+base_model:
+- Fizzarolli/L3-8b-Rosier-v1
+- NousResearch/Meta-Llama-3-8B
+- Sao10K/L3-8B-Stheno-v3.2
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+![By NovelAI](https://huggingface.co/inflatebot/helide-alpha-r2/resolve/main/img.png)
+`"Helide" (say HE-lied) is an ion of helium -- famously a very unreactive element, which doesn't form ions in most conditions.`
+# merge
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## Merge Details
+
+An experimental merge of the legendary L3-8B-Stheno with Fizzarolli's Rosier. The aim is to improve Stheno's "ball-rolling" capabilities and reduce its awkwardness with more niche content. For a first go, I'm surprised at how well it's doing so far, but given that this is literally my first LLM project ever, probably temper your expectations.
+
+Since R1: Changed to task-arithmetic. Snazzy new model card image.
+
+Since R2: Fixed unnecessary conversion.
+
+Since R3: Tweaked ratios, Rosier's influence cut in half.
+
+Since R4: Scrubbin' it down. +0.08 to Rosier (pre-normalization). Closing in on a good ratio.
+
+Since R5: Doubled both ratios; since normalization is enabled, this *should* essentially be the same as R5, but it makes the numbers nicer to work with, as now they can be envisioned as a ratio against 1.
+(Edit: They have the same SHA-256 sums, so they're literally identical.)
+### Merge Method
+
+This model was merged using the [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [Fizzarolli/L3-8b-Rosier-v1](https://huggingface.co/Fizzarolli/L3-8b-Rosier-v1)
+* [Sao10K/L3-8B-Stheno-v3.2](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.2)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: Sao10K/L3-8B-Stheno-v3.2
+    parameters:
+      weight: 1
+  - model: Fizzarolli/L3-8b-Rosier-v1
+    parameters:
+      weight: 0.66
+
+merge_method: task_arithmetic
+base_model: NousResearch/Meta-Llama-3-8B
+parameters:
+  normalize: true
+dtype: bfloat16
+
+```

config.json

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+{
+  "_name_or_path": "NousResearch/Meta-Llama-3-8B",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": 128001,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 8192,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.42.4",
+  "use_cache": true,
+  "vocab_size": 128256
+}

configuration.json

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

mergekit_config.yml

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+models:
+  - model: Sao10K/L3-8B-Stheno-v3.2
+    parameters:
+      weight: 1
+  - model: Fizzarolli/L3-8b-Rosier-v1
+    parameters:
+      weight: 0.66
+
+merge_method: task_arithmetic
+base_model: NousResearch/Meta-Llama-3-8B
+parameters:
+  normalize: true
+dtype: bfloat16

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special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<|begin_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|end_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}