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--- |
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license: apache-2.0 |
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tags: |
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- mixtral |
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- dense |
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- mistral |
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- expert |
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--- |
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# Unmixtraled 22B 8x linear merge |
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> [!WARNING] |
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> This model outputs gibberish as it was not trained under the dense configuration. Finetuning or merging is needed to make this model useful. |
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This is a 22B Mistral model recycling weights from [mistral-community/Mixtral-8x22B-v0.1](https://huggingface.co/mistral-community/Mixtral-8x22B-v0.1). |
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The model was adapted from a Mixtral architecture to a dense Mistral architecture with the same number of layers, attention heads and hidden dimensions. |
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Embeddings, attention, layer norms and LM head weights were taken directly from the 8x22B model, MLP weights are a linear merge of experts 0 to 7 weights. |
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The following named weight correspondance was used: |
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| Mistral weight | Mixtral weight | |
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|----------------|------------------------------| |
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| `gate_proj` | `experts.{layer_num}.w1` | |
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| `down_proj` | `experts.{layer_num}.w2` | |
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| `up_proj` | `experts.{layer_num}.w3` | |
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This mergekit configuration was used to merge the experts: |
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```yaml |
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models: |
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- model: thomasgauthier/Unmixtraled-22B-v0.1-expert-0 |
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- model: thomasgauthier/Unmixtraled-22B-v0.1-expert-1 |
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- model: thomasgauthier/Unmixtraled-22B-v0.1-expert-2 |
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- model: thomasgauthier/Unmixtraled-22B-v0.1-expert-3 |
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- model: thomasgauthier/Unmixtraled-22B-v0.1-expert-4 |
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- model: thomasgauthier/Unmixtraled-22B-v0.1-expert-5 |
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- model: thomasgauthier/Unmixtraled-22B-v0.1-expert-6 |
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- model: thomasgauthier/Unmixtraled-22B-v0.1-expert-7 |
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merge_method: linear |
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dtype: float16 |
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``` |
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## Unmixtraled models |
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| Expert | Source | Wikitext perplexity | |
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|--------|-----------------|---------------------| |
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| [Unmixtraled-22B-v0.1-expert-0](https://huggingface.co/thomasgauthier/Unmixtraled-22B-v0.1-expert-0) | Mixtral 8x22B embed, attn, layernorm, lm_head + expert 0 MLPs | 696.6932983398438 | |
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| [Unmixtraled-22B-v0.1-expert-1](https://huggingface.co/thomasgauthier/Unmixtraled-22B-v0.1-expert-1) | Mixtral 8x22B embed, attn, layernorm, lm_head + expert 1 MLPs | 6853.04248046875 | |
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| [Unmixtraled-22B-v0.1-expert-2](https://huggingface.co/thomasgauthier/Unmixtraled-22B-v0.1-expert-2) | Mixtral 8x22B embed, attn, layernorm, lm_head + expert 2 MLPs | 4689.181640625 | |
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| [Unmixtraled-22B-v0.1-expert-3](https://huggingface.co/thomasgauthier/Unmixtraled-22B-v0.1-expert-3) | Mixtral 8x22B embed, attn, layernorm, lm_head + expert 3 MLPs | 782.3755493164062 | |
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| [Unmixtraled-22B-v0.1-expert-4](https://huggingface.co/thomasgauthier/Unmixtraled-22B-v0.1-expert-4) | Mixtral 8x22B embed, attn, layernorm, lm_head + expert 4 MLPs | 2844.943603515625 | |
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| [Unmixtraled-22B-v0.1-expert-5](https://huggingface.co/thomasgauthier/Unmixtraled-22B-v0.1-expert-5) | Mixtral 8x22B embed, attn, layernorm, lm_head + expert 5 MLPs | 1099.32373046875 | |
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| [Unmixtraled-22B-v0.1-expert-6](https://huggingface.co/thomasgauthier/Unmixtraled-22B-v0.1-expert-6) | Mixtral 8x22B embed, attn, layernorm, lm_head + expert 6 MLPs | 341.5309753417969 | |
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| [Unmixtraled-22B-v0.1-expert-7](https://huggingface.co/thomasgauthier/Unmixtraled-22B-v0.1-expert-7) | Mixtral 8x22B embed, attn, layernorm, lm_head + expert 7 MLPs | 2099.63818359375 | |
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| [**Unmixtraled-22B-v0.1-lerp**](https://huggingface.co/thomasgauthier/Unmixtraled-22B-v0.1-lerp) | **Mixtral 8x22B embed, attn, layernorm, lm_head + linear merge of expert 0-7 MLPs** | **1873.9874267578125** | |
