Arxiv:2407.07080 Base model:dicta-il/dictalm2.0 Base model:quantized:dicta-il/... Conversational En Gguf He Instruct Instruction-tuned Mistral Quantized Region:us
Dictalm2.0 Instruct GGUF 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)
Dictalm2.0 Instruct GGUF Parameters and Internals
| LLM Name | Dictalm2.0 Instruct GGUF |
| Repository 🤗 | https://huggingface.co/dicta-il/dictalm2.0-instruct-GGUF |
| Base Model(s) | |
| Required VRAM | 4.4 GB |
| Updated | 2024-10-18 |
| Maintainer | dicta-il |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en he |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | AutoModel |
| License | apache-2.0 |
Best Alternatives to Dictalm2.0 Instruct GGUF
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...ixtral 8x7B Instruct V0.1 GGUF | 0K / 15.6 GB | 45660 | 597 |
| Dolphin 2.5 Mixtral 8x7b GGUF | 0K / 15.6 GB | 5423 | 292 |
| Phi 3 Mini 4K Instruct GGUF | 0K / 1.4 GB | 2221 | 15 |
| Spydaz Web AI | 0K / 4.4 GB | 139 | 3 |
| Dolphin 2.7 Mixtral 8x7b GGUF | 0K / 15.6 GB | 4734 | 132 |
| Phi 3 Mini 4K Instruct | 0K / 2.3 GB | 65 | 0 |
| ...i 3 Mini 4K Instruct V0.3 GGUF | 0K / 1.4 GB | 227 | 5 |
| Dre Phi Gguf | 0K / 2.3 GB | 46 | 0 |
| Autocomplete Model | 0K / 4.1 GB | 27 | 0 |
| Scm Phi3 16 V3 | 0K / 7.6 GB | 67 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than dicta-il/dictalm2.0-instruct-GGUF .
Rank the Dictalm2.0 Instruct GGUF Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803