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The model showed good performance in my testing, and [shows promise for actions and RP as well](https://www.reddit.com/r/LocalLLaMA/comments/17p0gut/llm_comparisontest_mistral_7b_updates_openhermes/). + +From Teknium: + +``` +OpenHermes 2.5 Mistral 7B is a state of the art Mistral Fine-tune, a continuation of OpenHermes 2 model, which trained on additional code datasets. + +Potentially the most interesting finding from training on a good ratio (est. of around 7-14% of the total dataset) of code instruction was that it has boosted several non-code benchmarks, including TruthfulQA, AGIEval, and GPT4All suite. It did however reduce BigBench benchmark score, but the net gain overall is significant. + +The code it trained on also improved it's humaneval score (benchmarking done by Glaive team) from **43% @ Pass 1** with Open Herms 2 to **50.7% @ Pass 1** with Open Hermes 2.5. + +OpenHermes was trained on 1,000,000 entries of primarily GPT-4 generated data, as well as other high quality data from open datasets across the AI landscape. [More details soon] + +Filtering was extensive of these public datasets, as well as conversion of all formats to ShareGPT, which was then further transformed by axolotl to use ChatML. +``` + +Another finetune, Dolphin 2.2.1 is [also available here](hrishioa/mlc-chat-dolphin-2.2.1-mistral-7b-q4f32_1, compiled for WebGPU. + +Compiled with [mlc-llm](https://llm.mlc.ai/). + +Very helpful direction provided by [felladrin](https://github.com/felladrin)! + +You can use [his example](https://huggingface.co/spaces/Felladrin/Web-LLM-Mistral-7B-OpenOrca) to get quickly started with this model. + +## Prompt template + +Prompt format: +This model uses [ChatML](https://github.com/openai/openai-python/blob/main/chatml.md) prompt format. + +``` +<|im_start|>system +You are Dolphin, a helpful AI assistant.<|im_end|> +<|im_start|>user +{prompt}<|im_end|> +<|im_start|>assistant + +``` diff --git a/params/added_tokens.json b/params/added_tokens.json new file mode 100644 index 0000000000000000000000000000000000000000..e36863df2bc13b20909d6711019409e777802fb5 --- /dev/null +++ b/params/added_tokens.json @@ -0,0 +1,4 @@ +{ + "<|im_end|>": 32000, + "<|im_start|>": 32001 +} diff --git a/params/mlc-chat-config.json b/params/mlc-chat-config.json new file mode 100644 index 0000000000000000000000000000000000000000..9a25fba72de23004c7cc3cc57d5be08b9661dc72 --- /dev/null +++ b/params/mlc-chat-config.json @@ -0,0 +1,33 @@ +{ + "model_lib": "OpenHermes-2.5-Mistral-7B-q4f32_1", + "local_id": "OpenHermes-2.5-Mistral-7B-q4f32_1", + "conv_template": "llama-2", + "conv_config": { + "system": "<|im_start|>system: You are an AI assistant that follows instructions as closely as you can. Be helpful.", + "roles": [ + "<|im_start|>user", + "<|im_start|>assistant" + ], + "seps": [ + "<|im_end|>\n" + ], + "stop_str": "<|im_end|>" + }, + "temperature": 0.7, + "repetition_penalty": 1.0, + "top_p": 0.95, + "mean_gen_len": 128, + "max_gen_len": 512, + "max_window_size": 2048, + "num_shards": 1, + "shift_fill_factor": 0.3, + "tokenizer_files": [ + "added_tokens.json", + "tokenizer.model" + ], + "model_category": "mistral", + "model_name": "OpenHermes-2.5-Mistral-7B", + "vocab_size": 32002, + "sliding_window": 4096, + "sliding_window_chunk_size": 4096 +} \ No newline at end of file diff --git a/params/ndarray-cache.json b/params/ndarray-cache.json new file mode 100644 index 0000000000000000000000000000000000000000..8b0317f159933ca7453c448ec79c82426f69ac24 --- /dev/null +++ b/params/ndarray-cache.json @@ -0,0 +1,4456 @@ +{ + "metadata": { + "ParamSize": 327 + }, + "records": [ + { + "dataPath": "params_shard_0.bin", + "format": "raw-shard", + "nbytes": 65540096, + "records": [ + 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