Base model:cognitivecomputatio... Base model:finetune:cognitivec... Dataset:ehartford/dolphin Dataset:ehartford/dolphin-code... Dataset:ise-uiuc/magicoder-evo... Dataset:ise-uiuc/magicoder-oss... Dataset:jondurbin/airoboros-2.... Dataset:ldjnr/pure-dove Dataset:migtissera/synthia-v1.... Dataset:teknium/openhermes En Instruct Llamafile Mixtral Moe Region:us
Model Card on HF 🤗: https://huggingface.co/jartine/dolphin-2.5-mixtral-8x7b-llamafile
Dolphin 2.5 Mixtral 8x7b Llamafile Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Dolphin 2.5 Mixtral 8x7b Llamafile Parameters and Internals
| LLM Name | Dolphin 2.5 Mixtral 8x7b Llamafile |
| Repository 🤗 | https://huggingface.co/jartine/dolphin-2.5-mixtral-8x7b-llamafile |
| Model Name | Dolphin 2.5 Mixtral 8X7B |
| Model Creator | Eric Hartford |
| Base Model(s) | |
| Updated | 2025-02-22 |
| Maintainer | jartine |
| Model Type | mixtral |
| Instruction-Based | Yes |
| Supported Languages | en |
| Model Architecture | AutoModel |
| License | apache-2.0 |
Best Alternatives to Dolphin 2.5 Mixtral 8x7b Llamafile
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Autotrain Umberto Proclama | 0K / 0.9 GB | 5 | 0 |
| Mamba Python | 0K / 2 GB | 13 | 0 |
| ...hi 3 Mini 4K Instruct Ct2 Int8 | 0K / 3.8 GB | 2 | 1 |
| ...l 8x7B Instruct V0.1 Llamafile | 0K / GB | 2035 | 18 |
| CSUMLM | 0K / GB | 37 | 0 |
| Instruct GPT J | 0K / 0 GB | 0 | 25 |
| Vigogne Bloom 7b1 Instruct | 0K / 0.1 GB | 0 | 4 |
| ...a Instruction Fine Tune French | 0K / 0 GB | 0 | 4 |
| Lora Model | 0K / 0.1 GB | 1189 | 0 |
| Phi 3.1 EvolKit Lora | 0K / 0.1 GB | 0 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than jartine/dolphin-2.5-mixtral-8x7b-llamafile .
Rank the Dolphin 2.5 Mixtral 8x7b Llamafile Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227