--- license: apache-2.0 tags: - mistral - conversational - text-generation-inference base_model: - starble-dev/Starlight-V3-12B library_name: transformers --- > [!WARNING] > **General Use Sampling:**
> Mistral-Nemo-12B is very sensitive to the temperature sampler, try values near **0.3** at first or else you will get some weird results. This is mentioned by MistralAI at their [Transformers](https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407#transformers) section. > [!NOTE] > **Best Samplers:**
> I found best success using the following for Starlight-V3-12B:
> Temperature: `0.7`-`1.2` (Additional stopping strings will be necessary as you increase the temperature)
> Top K: `-1`
> Min P: `0.05`
> Rep Penalty: `1.03-1.1` # Why Version 3? Currently the other versions resulted in really bad results that I didn't upload them, the version number is just the internal version. # Goal The idea is to keep the strengths of [anthracite-org/magnum-12b-v2](https://huggingface.co/anthracite-org/magnum-12b-v2) while adding some more creativity that seems to be lacking in the model. Mistral-Nemo by itself seems to behave less sporadic due to the low temperature needed but this gets a bit repetitive, although it's still the best foundational model I've used so far, mainly since Mistral-Nemo native 128k context length is crazy good. # Results I am not entirely pleased with the result of the merge but it seems okay, though base [anthracite-org/magnum-12b-v2](https://huggingface.co/anthracite-org/magnum-12b-v2) might just be better by itself. However, I'll still experiement on different merge methods. Leaking of the training data used on both models seems a bit more apparent when using higher temperature values, especially the use of author notes on the system prompt. Generally I'd advise to create a stopping string for "```" to avoid the generation of the training data. **Original Models:** - [UsernameJustAnother/Nemo-12B-Marlin-v5](https://huggingface.co/UsernameJustAnother/Nemo-12B-Marlin-v5) (Thank you so much for your work ♥) - [anthracite-org/magnum-12b-v2](https://huggingface.co/anthracite-org/magnum-12b-v2) (Thank you so much for your work ♥) **Official Quants:** PPL = Perplexity, lower is better
Comparisons are done as QX_X Llama-3-8B against FP16 Llama-3-8B, recommended as a guideline and not as fact. | Quant Type | Note | Size | | ---- | ---- | ---- | | [Q2_K](https://huggingface.co/starble-dev/Starlight-V3-12B-GGUF/blob/main/Starlight-V3-12B-Q2_K.gguf) | +3.5199 ppl @ Llama-3-8B | 4.79 GB | | [Q3_K_S](https://huggingface.co/starble-dev/Starlight-V3-12B-GGUF/blob/main/Starlight-V3-12B-Q3_K_S.gguf) | +1.6321 ppl @ Llama-3-8B | 5.53 GB | | [Q3_K_M](https://huggingface.co/starble-dev/Starlight-V3-12B-GGUF/blob/main/Starlight-V3-12B-Q3_K_M.gguf) | +0.6569 ppl @ Llama-3-8B | 6.08 GB | | [Q3_K_L](https://huggingface.co/starble-dev/Starlight-V3-12B-GGUF/blob/main/Starlight-V3-12B-Q3_K_L.gguf) | +0.5562 ppl @ Llama-3-8B | 6.56 GB | | [Q4_K_S](https://huggingface.co/starble-dev/Starlight-V3-12B-GGUF/blob/main/Starlight-V3-12B-Q4_K_S.gguf) | +0.2689 ppl @ Llama-3-8B | 7.12 GB | | [Q4_K_M](https://huggingface.co/starble-dev/Starlight-V3-12B-GGUF/blob/main/Starlight-V3-12B-Q4_K_M.gguf) | +0.1754 ppl @ Llama-3-8B | 7.48 GB | | [Q5_K_S](https://huggingface.co/starble-dev/Starlight-V3-12B-GGUF/blob/main/Starlight-V3-12B-Q5_K_S.gguf) | +0.1049 ppl @ Llama-3-8B | 8.52 GB | | [Q5_K_M](https://huggingface.co/starble-dev/Starlight-V3-12B-GGUF/blob/main/Starlight-V3-12B-Q5_K_M.gguf) | +0.0569 ppl @ Llama-3-8B | 8.73 GB | | [Q6_K](https://huggingface.co/starble-dev/Starlight-V3-12B-GGUF/blob/main/Starlight-V3-12B-Q6_K.gguf) | +0.0217 ppl @ Llama-3-8B | 10.1 GB | | [Q8_0](https://huggingface.co/starble-dev/Starlight-V3-12B-GGUF/blob/main/Starlight-V3-12B-Q8_0.gguf) | +0.0026 ppl @ Llama-3-8B | 13.00 GB | **Original Model Licenses & This Model License:** Apache 2.0