Conversational Endpoints compatible F16 F32 Finetuned Ggml Gguf Instruct Mistral Mlx Q4 Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/versae/filiberto-7B-instruct-exp1
Filiberto 7B Instruct Exp1 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)
Filiberto 7B Instruct Exp1 Parameters and Internals
| Model Type |
| |
| Additional Notes |
|
| LLM Name | Filiberto 7B Instruct Exp1 |
| Repository 🤗 | https://huggingface.co/versae/filiberto-7B-instruct-exp1 |
| Model Size | 7b |
| Required VRAM | 14.5 GB |
| Updated | 2025-06-09 |
| Maintainer | versae |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| GGML Quantization | Yes |
| GGUF Quantization | Yes |
| Quantization Type | gguf|ggml|q4 |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.39.3 |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Filiberto 7B Instruct Exp1
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mistral 7B V0.2 Csn SFT | 32K / 14.4 GB | 25 | 0 |
| Instruct 16bit | 32K / 0.4 GB | 12 | 0 |
| MistralMusic | 32K / 14.4 GB | 27 | 1 |
| BioMistral 7B DARE GGUF | 32K / 2.7 GB | 211 | 10 |
| Synatra 7B V0.3 RP GGUF | 32K / 4.4 GB | 52 | 8 |
| ...ns Extraction Lora Merged GGUF | 32K / 5.1 GB | 38 | 0 |
| Mistral Turkish Gguf | 32K / 5.1 GB | 14 | 1 |
| Rag Tge Pl Bielik | 4K / 14.4 GB | 45 | 0 |
| Mistral 7B Instruct V0.2.gguf | 32K / 14.5 GB | 30 | 3 |
| Mistral 7B Instruct V0.2 GGUF | 32K / 4.4 GB | 24 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than versae/filiberto-7B-instruct-exp1 .
Rank the Filiberto 7B Instruct Exp1 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124