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MarinaraSpaghetti / Model details

intervitens_internlm2-limarp-chat-20b-6.5bpw-h6-exl2

MarinaraSpaghetti/intervitens_internlm2-limarp-chat-20b-6.5bpw-h6-exl2

fine-tuned
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About this model

MarinaraSpaghetti's repository contains a merged model produced with mergekit's task arithmetic method, using intervitens/internlm2-base-20b-llama as the base. The model card says it combines internlm2-limarp-20b-v0.03 and internlm2-chat-20b-llama, with the creator describing it as experimental and noting that a LimaRP LoRA was trained on top of internlm2-base-20b and merged with internlm2-chat-20b. The prompt format is ChatML. Weights are provided as safetensors, and the listed license is 'other'.

Description sources

Source-based description, not an independent evaluation. Check the linked sources for the creator’s claims and limitations.

Size and formats

Base model
intervitens/internlm2-base-20b-llama
Parameters
Unknown
Main repository formats
safetensors
License tag
other
Languages
en
Last updated
2024-01-30 · 01:37:45.000 UTC

What changed

Model types are creator-reported, not independently tested. These labels describe source metadata, not a guarantee of behavior.

  • fine-tunedsource tag: base_model:finetune:intervitens/internlm2-base-20b-llama

Family evidence

These groupings are source-reported. Explicit base identifiers take priority over generic architecture tags.

  • Llama: Base model: intervitens/internlm2-base-20b-llama

Available versions

Versions appear here only when they explicitly name this exact model as their source. Check each repository for available files.

Link to this listing

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Markdown

[Listed on Custom Clankers](https://customclankers.com/models/marinaraspaghetti-intervitens-internlm2-limarp-chat-20b-6-5bpw-h6-exl2/)

HTML

<a href="https://customclankers.com/models/marinaraspaghetti-intervitens-internlm2-limarp-chat-20b-6-5bpw-h6-exl2/">Listed on Custom Clankers</a>

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Customize or build on this model

Listed from public GitHub data, not tested by us. Read the code and license before you run anything.

Tools to customize it further

Remove more refusals

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  • OBLITERATUS ↗ ★ 8,949

    A larger refusal-removal toolkit with several abliteration methods, usable locally or through a hosted Hugging Face Space. Check the telemetry setting before you run it: the README describes telemetry as opt-in, but on by default in the Spaces version.

Fine-tune it on your own data

  • Unsloth ↗ ★ 78,549

    A desktop app and Python library for running and training models locally. Its README lists LoRA, QLoRA, full fine-tuning, DPO and GRPO, plus export to formats including GGUF, on Windows, Linux, WSL and macOS.

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    Fine-tunes more than 100 language and vision-language models from a command line or a browser-based Web UI, aimed at training without writing code.

Make a smaller download (quantize)

  • llama.cpp ↗ ★ 132,313

    Runs models locally and includes the tools behind most GGUF files. A conversion script turns Hugging Face weights into GGUF, and llama-quantize shrinks a high-precision GGUF to lower-bit formats, which can cost some accuracy.

  • MLX LM ↗ ★ 7,470

    Apple's MLX package for running and fine-tuning models on Apple silicon. It can quantize models and upload them to the Hugging Face Hub, and supports LoRA and full fine-tuning.

Merge it with another model

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Learn the techniques

  • LLM Course ↗ ★ 84,684

    A free course with roadmaps and Colab notebooks. Its notebooks include one-click tools for merging with MergeKit, quantizing to GGUF, GPTQ, EXL2, AWQ and HQQ, and automatic abliteration with custom datasets.

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Source provenance

Downloads
16
Likes
0
Metadata checked
2026-10-26 · 12:12:53 UTC
First seen in index
2026-10-26 · 12:12:53 UTC
Source revision
ad9c365fb9946866eed61d690d0d77ab78bbcfc0

Source-card excerpt

Source model card excerpt: Experimental model, LimaRP LoRA trained on top of internlm2-base-20b with 8192 context length and merged with internlm2-chat-20b. Prompt format is ChatML. internlm2-06limarp-1chat-TASK ARITHM-20b-v0.03 This

From MarinaraSpaghetti/intervitens_internlm2-limarp-chat-20b-6.5bpw-h6-exl2. Creator model-card excerpt, not an independent review.

Inspect before you run

Low refusal is not proof of correctness. Outputs can be inaccurate, harmful, or biased. Review the model card, license and files yourself. A license tag is not commercial-use advice. Parameter counts are source metadata; no hardware compatibility is implied.

This directory does not host or redistribute model weights. Refusal profiles are measured by us on a fixed prompt set; all other behavior claims are source-reported.

Collection rules & limitations ↗