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README.md

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+---
+license: cc-by-nc-4.0
+language:
+- en
+---
+
+https://huggingface.co/Sao10K/Fimbulvetr-11B-v2-Test-14-GGUF <------ GGUF
+
+Fimbulvetr-v2 test bench 14
+
+Updated some stuff, trying new stuff up. **Experiment Successful**
+
+If it works I'll do bigger models, if not then nah.
+
+Prompt Format: Either Alpaca or Vicuna works fine. They just werk.
+
+***
+
+15/2 Update - Suitable for Release
+
+This was mainly a model focused on the submission for the Chai app.
+Scaling results to Yi/Mixtral soon.
+
+***
+
+Ramble to meet minimum length requirements:
+
+Tbh i wonder if this shit is even worth doing. Like im just some broke guy lmao I've spent so much. And for what? I guess creds. Feels good when a model gets good feedback, but it seems like im invisible sometimes. I should be probably advertising myself and my models on other places but I rarely have the time to. Probably just internal jealousy sparking up here and now. Wahtever I guess.
+
+Anyway cool EMT vocation I'm doing is cool except it pays peanuts, damn bruh 1.1k per month lmao. Government to broke to pay for shit. Pays the bills I suppose.
+
+Anyway cool beans, I'm either going to continue the Solar Train or go to Mixtral / Yi when I get paid.
+
+You still here?
+
+
+

config.json

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+{
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+  "architectures": [
+    "LlamaForCausalLM"
+  ],
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+  "attention_dropout": 0.0,
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+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 4096,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 48,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.37.1",
+  "use_cache": false,
+  "vocab_size": 32000
+}

generation_config.json

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+{
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+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.37.2",
+  "use_cache": false
+}

gptq_model-4bit-32g.safetensors

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tokenizer_config.json

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