Autotrain compatible Endpoints compatible F16 Finetuned Ggml Gguf Mistral Q4 Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/erdiari/Mistral-Scary-Story-Finetune
Mistral Scary Story Finetune 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)
Mistral Scary Story Finetune Parameters and Internals
| LLM Name | Mistral Scary Story Finetune |
| Repository 🤗 | https://huggingface.co/erdiari/Mistral-Scary-Story-Finetune |
| Model Size | 7b |
| Required VRAM | 14.5 GB |
| Updated | 2025-02-22 |
| Maintainer | erdiari |
| Model Type | mistral |
| Model Files | |
| GGML Quantization | Yes |
| GGUF Quantization | Yes |
| Quantization Type | ggml|q4|gguf |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.37.2 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Mistral Scary Story Finetune
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mistrilitary 7B | 32K / 7.7 GB | 128 | 19 |
| Mistral 7B V0.2 Csn SFT | 32K / 14.4 GB | 15 | 0 |
| AzzurroQuantized | 32K / 4.4 GB | 333 | 4 |
| Instruct 16bit | 32K / 0.4 GB | 5 | 0 |
| Merlinite 7B Ocp4.15 V0.3 | 32K / 14.5 GB | 9 | 0 |
| Shiftdocs 7B Ocp4.15 V0.3 | 32K / 14.5 GB | 11 | 0 |
| AzzurroQuantized | 32K / 4.4 GB | 222 | 4 |
| Merlinite 7B Ocp4.15 V0.1 | 32K / 4.4 GB | 12 | 0 |
| Filiberto 7B Instruct Exp1 | 32K / 14.5 GB | 31 | 0 |
| MistralMusic | 32K / 14.4 GB | 26 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than erdiari/Mistral-Scary-Story-Finetune .
Rank the Mistral Scary Story Finetune Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227