Merged Model Autotrain compatible Conversational Endpoints compatible Instruct Mistral Region:us Safetensors Sharded Tensorflow
Dictalm2.0 Instruct Fine Tuned Alpaca Gpt4 Hebrew 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 Fine Tuned Alpaca Gpt4 Hebrew Parameters and Internals
| LLM Name | Dictalm2.0 Instruct Fine Tuned Alpaca Gpt4 Hebrew |
| Repository 🤗 | https://huggingface.co/ronigold/dictalm2.0-instruct-fine-tuned-alpaca-gpt4-hebrew |
| Merged Model | Yes |
| Model Size | 7.3b |
| Required VRAM | 14.5 GB |
| Updated | 2024-10-18 |
| Maintainer | ronigold |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| License | mit |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.38.0 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 33152 |
| Torch Data Type | float16 |
Best Alternatives to Dictalm2.0 Instruct Fine Tuned Alpaca Gpt4 Hebrew
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Dictalm2.0 Instruct | 32K / 14.5 GB | 10378 | 18 |
| Dictalm2 It Qa Fine Tune | 32K / 14.5 GB | 5335 | 3 |
| Dictalm2.0 Instruct Fine Tuned | 32K / 14.5 GB | 4939 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than ronigold/dictalm2.0-instruct-fine-tuned-alpaca-gpt4-hebrew .
Rank the Dictalm2.0 Instruct Fine Tuned Alpaca Gpt4 Hebrew Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803