ExLLaMA V2 quant of Yi-34B-GiftedConvo-merged-4.0bpw-h6-exl2

README.md

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+---
+license: mit
+datasets:
+- NobodyExistsOnTheInternet/GiftedConvoBeforeEcons
+---
+
+  Trained on over 20k instruct generated all by gpt-4 or humans
+
+  Dataset features:
+  1000 long evolved conversations based off LIMA
+  Subsection of correct PRM800k data
+  Subsection of CamelAI's Physics and Chemistry data
+
+
+  The model is trained with Qlora as well as Axolotl. 
+
+  The model format is Vicuna 1.1:
+  ```
+  User: ...
+  Assistant: ...
+  ```

config.json

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+{
+  "_name_or_path": "chargoddard/Yi-34B-Llama",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 7168,
+  "initializer_range": 0.02,
+  "intermediate_size": 20480,
+  "max_position_embeddings": 4096,
+  "model_type": "llama",
+  "num_attention_heads": 56,
+  "num_hidden_layers": 60,
+  "num_key_value_heads": 8,
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 5000000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.34.1",
+  "use_cache": true,
+  "vocab_size": 64000
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "pad_token_id": 0,
+  "transformers_version": "4.34.1"
+}

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