Bagel-Hermes-2x34B

This is the model for Bagel-Hermes-2x34B. I used this repo to make this MOE model.

Prompt Template(s):

Since bagel-dpo-34b-v0.2 uses many prompt templates, and Nous-Hermes-2-Yi-34B uses ChatML, you can utilize ChatML and other prompt templates provided by bagel.

Note: I currently do not know which prompt template is best.

ChatML:

<|im_start|>system
{system}<|im_end|>
<|im_start|>user
{user}<|im_end|>
<|im_start|>assistant
{asistant}<|im_end|>

Alpaca (sort of)

Below is an instruction that describes a task.  Write a response that appropriately completes the request.

### Instruction:
{system}
{instruction}

### Response:

Vicuna

{system}
USER: {instruction}
ASSISTANT: 

Visit bagel-dpo-34b-v0.2 to try more prompt templates.

Yaml Config to reproduce

base_model: nontoxic-bagel-34b-v0.2
gate_mode: hidden
dtype: bfloat16

experts:
  - source_model: bagel-dpo-34b-v0.2
    positive_prompts: ["question answering", "Q:", science", "biology", "chemistry", "physics"]

  - source_model: Nous-Hermes-2-Yi-34B
    positive_prompts: ["chat", "math", "reason", "mathematics", "solve", "count", "python", "javascript", "programming", "algorithm", "tell me", "assistant"]

Quantizationed versions

Quantizationed versions of this model is available thanks to TheBloke.

GPTQ

• TheBloke/Bagel-Hermes-2x34B-GPTQ

GGUF

• TheBloke/Bagel-Hermes-2x34B-GGUF

AWQ

• TheBloke/Bagel-Hermes-2x34B-AWQ

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	75.10
AI2 Reasoning Challenge (25-Shot)	69.80
HellaSwag (10-Shot)	85.26
MMLU (5-Shot)	77.24
TruthfulQA (0-shot)	64.82
Winogrande (5-shot)	84.77
GSM8k (5-shot)	68.69

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