Autotrain compatible Base model:dicta-il/dictalm2.0... Base model:finetune:dicta-il/d... Conversational Endpoints compatible He Instruct Mistral Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/618AI/dictalm2-it-qa-fine-tune
Dictalm2 It Qa Fine Tune 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 It Qa Fine Tune Parameters and Internals
| Model Type |
| |||
| Supported Languages |
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| Training Details |
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| LLM Name | Dictalm2 It Qa Fine Tune |
| Repository 🤗 | https://huggingface.co/618AI/dictalm2-it-qa-fine-tune |
| Base Model(s) | |
| Model Size | 7.3b |
| Required VRAM | 14.5 GB |
| Updated | 2025-11-22 |
| Maintainer | 618AI |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | he |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.38.1 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 33153 |
| Torch Data Type | bfloat16 |
Best Alternatives to Dictalm2 It Qa Fine Tune
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Dictalm2.0 Instruct | 32K / 14.5 GB | 200629 | 24 |
| ... Fine Tuned Alpaca Gpt4 Hebrew | 32K / 14.5 GB | 4844 | 0 |
| Dictalm2.0 Instruct Fine Tuned | 32K / 14.5 GB | 4724 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than 618AI/dictalm2-it-qa-fine-tune .
Rank the Dictalm2 It Qa Fine Tune Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124