modelId large_stringlengths 5 122 | author large_stringlengths 2 42 | last_modified large_stringdate 2020-07-06 16:36:02 2026-10-19 00:16:36 | downloads int64 0 246M | likes int64 0 17.1k | library_name large_stringlengths 1 89 ⌀ | tags large listlengths 1 4.05k | pipeline_tag large_stringclasses 56
values | createdAt large_stringdate 2022-03-02 23:29:04 2026-10-19 00:16:21 | card large_stringlengths 31 1.03M |
|---|---|---|---|---|---|---|---|---|---|
netsrik/frisky-90m | netsrik | 2026-10-18T17:02:44Z | 531 | 0 | deepj | [
"deepj",
"deepj-prism",
"text-generation",
"en",
"license:mit",
"region:us"
] | text-generation | 2026-10-16T22:48:24Z | ---
library_name: deepj
license: mit
language:
- en
pipeline_tag: text-generation
tags:
- deepj
---
# Frisky 90M
Frisky is a 90,128,896-parameter language model trained from scratch with [DeepJ](https://github.com/KirstenAli/DeepJ) on an Apple GPU. It completed base pretraining, mid-training, and response-only inst... |
md-nishat-008/BanglaShield | md-nishat-008 | 2026-10-16T22:42:14Z | 0 | 0 | null | [
"safety",
"guard-model",
"content-moderation",
"bangla",
"romanized",
"code-mixed",
"text-classification",
"bn",
"en",
"hi",
"ur",
"dataset:md-nishat-008/BanglaShield-Dataset",
"base_model:google/muril-base-cased",
"base_model:finetune:google/muril-base-cased",
"license:cc-by-nc-4.0",
... | text-classification | 2026-10-16T22:41:50Z | ---
license: cc-by-nc-4.0
language:
- bn
- en
- hi
- ur
base_model: google/muril-base-cased
pipeline_tag: text-classification
datasets:
- md-nishat-008/BanglaShield-Dataset
tags:
- safety
- guard-model
- content-moderation
- bangla
- romanized
- code-mixed
---
<div align="center">
![Weights coming soon](https://img.s... |
GUI-Gym/Qwen3-VL-8B-sft-gpt-6.1-sol-train_new_tasks_v3_verified_filtered_full_mobileforge | GUI-Gym | 2026-10-17T10:11:46Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"llama-factory",
"full",
"generated_from_trainer",
"conversational",
"license:other",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-10-17T10:09:46Z | ---
library_name: transformers
license: other
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: sft-simulator-mobileforge-full
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and compl... |
smdesai/granite-docling-258M-coreml | smdesai | 2026-10-17T00:55:30Z | 42 | 0 | null | [
"coreml",
"ios",
"macos",
"docling",
"document-conversion",
"ocr",
"image-text-to-text",
"en",
"base_model:ibm-granite/granite-docling-258M",
"base_model:quantized:ibm-granite/granite-docling-258M",
"license:apache-2.0",
"region:us"
] | image-text-to-text | 2026-10-16T23:37:02Z | ---
license: apache-2.0
base_model: ibm-granite/granite-docling-258M
pipeline_tag: image-text-to-text
language:
- en
tags:
- coreml
- ios
- macos
- docling
- document-conversion
- ocr
---
# granite-docling-258M — Core ML
[IBM granite-docling-258M](https://huggingface.co/ibm-granite/granite-docling-258M) converted to ... |
mradermacher/gemma-4-31b-larkspur-v1-GGUF | mradermacher | 2026-10-17T03:15:31Z | 241 | 1 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"gemma4",
"en",
"base_model:trashpanda-org/gemma-4-31b-larkspur-v1",
"base_model:quantized:trashpanda-org/gemma-4-31b-larkspur-v1",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-05-26T15:53:15Z | ---
base_model: trashpanda-org/gemma-4-31b-larkspur-v1
language:
- en
library_name: transformers
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- mergekit
- merge
- gemma4
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_... |
mradermacher/Ternary-Bonsai-2-9B-hf-bf16-GGUF | mradermacher | 2026-10-17T02:53:27Z | 399 | 0 | transformers | [
"transformers",
"gguf",
"bonsai",
"ternary",
"prismml",
"en",
"base_model:jonathan-kellerai/Ternary-Bonsai-2-9B-hf-bf16",
"base_model:quantized:jonathan-kellerai/Ternary-Bonsai-2-9B-hf-bf16",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-10-17T02:50:01Z | ---
base_model: jonathan-kellerai/Ternary-Bonsai-2-9B-hf-bf16
language:
- en
library_name: transformers
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen3.5-9B/blob/main/LICENSE
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- bonsai
- ternary
- prismml
---
## About
<!-- ### quantize_v... |
currnya/z-image-lora-studies | currnya | 2026-10-16T16:44:56Z | 0 | 0 | null | [
"lora",
"experimental",
"ja",
"en",
"base_model:Tongyi-MAI/Z-Image",
"base_model:adapter:Tongyi-MAI/Z-Image",
"license:apache-2.0",
"region:us"
] | null | 2026-10-16T16:44:52Z | ---
license: apache-2.0
base_model: Tongyi-MAI/Z-Image
base_model_relation: adapter
tags:
- lora
- experimental
language:
- ja
- en
---
# Z-Image LoRA studies
失敗作・習作の画像生成用LoRAです。AIの作業で作った実験用モデルを保存するための公開です。品質や再現性は保証しません。完成した推奨モデル集ではありません。
These are unsuccessful experiments and studies created through AI-assisted wor... |
RunningHubAI/rh-66-lora | RunningHubAI | 2026-10-16T17:13:03Z | 0 | 0 | null | [
"comfyui",
"lora",
"region:us"
] | null | 2026-10-16T17:12:02Z | ---
tags:
- comfyui
- lora
---
# rh-66-lora
[](README_cn.md)
[](https://www.runninghub.ai/call-api?utm_source=huggingface&utm_medium=badge&utm_campaign=api_promotion&utm_content=rh... |
EtuhE/igala-mt-first | EtuhE | 2026-10-16T22:23:18Z | 0 | 1 | null | [
"translation",
"igala",
"low-resource",
"igl",
"license:mit",
"region:us"
] | translation | 2026-10-16T21:57:26Z | ---
language:
- igl
license: mit
tags:
- translation
- igala
- low-resource
---
# EtuhE/igala-mt-first - First Igala MT Model
**BLEU: 11.66 | chrF: 46.69 | Data: 899 sentences (IgalaNLP4D)**
First open Igala-English machine translation model.
## Results
| Epoch | BLEU | chrF | Status |
|-------|------|------|------... |
Dxnn1u/llama-3.2-1B-lab5-6b-d40 | Dxnn1u | 2026-10-17T05:55:28Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"arxiv:1910.09700",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-10-17T05:53:59Z | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. Thi... |
xcz2czasd2/MyAwesomeModel-TestRepo | xcz2czasd2 | 2026-10-16T17:11:13Z | 0 | 0 | transformers | [
"transformers",
"pytorch",
"bert",
"feature-extraction",
"license:mit",
"endpoints_compatible",
"region:us"
] | feature-extraction | 2026-10-16T17:10:57Z | ---
license: mit
library_name: transformers
---
# MyAwesomeModel
<!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable html -->
<!-- markdownlint-disable no-duplicate-header -->
<div align="center">
<img src="figures/fig1.png" width="60%" alt="MyAwesomeModel" />
</div>
<hr>
<div align="center" style... |
kyamaguchiTT/qwen3.6-27b-resident-p150x4 | kyamaguchiTT | 2026-10-18T21:20:41Z | 0 | 0 | null | [
"blackhole",
"p150x4",
"tt-model-cache",
"tt-model-container",
"vllm-plugin",
"text-generation",
"base_model:Qwen/Qwen3.6-27B",
"base_model:finetune:Qwen/Qwen3.6-27B",
"license:apache-2.0",
"region:us"
] | text-generation | 2026-10-05T08:36:24Z | ---
tags:
- blackhole
- p150x4
- tt-model-cache
- tt-model-container
- vllm-plugin
license: apache-2.0
pipeline_tag: text-generation
base_model:
- Qwen/Qwen3.6-27B
---
# qwen3.6-27b-resident
Qwen3.6-27B on four Blackhole P150 chips with a resident decode design: one persistent program per chip runs the whole decode s... |
akshaykumarhudedmani/goldenhour-rl | akshaykumarhudedmani | 2026-10-17T23:23:48Z | 42 | 0 | peft | [
"peft",
"safetensors",
"base_model:adapter:unsloth/Qwen2.5-Coder-1.5B-Instruct-bnb-4bit",
"grpo",
"lora",
"transformers",
"trl",
"unsloth",
"text-generation",
"conversational",
"arxiv:1910.09700",
"base_model:unsloth/Qwen2.5-Coder-1.5B-Instruct-bnb-4bit",
"region:us"
] | text-generation | 2026-10-15T10:11:06Z | ---
base_model: unsloth/Qwen2.5-Coder-1.5B-Instruct-bnb-4bit
library_name: peft
pipeline_tag: text-generation
tags:
- base_model:adapter:unsloth/Qwen2.5-Coder-1.5B-Instruct-bnb-4bit
- grpo
- lora
- transformers
- trl
- unsloth
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
... |
openroboto-ai/champion-sim-7 | openroboto-ai | 2026-10-18T17:56:16Z | 0 | 0 | null | [
"openroboto",
"champion-snapshot",
"region:us"
] | null | 2026-10-17T05:06:50Z | ---
tags:
- openroboto
- champion-snapshot
---
# OpenRoboto champion snapshot
This repository holds the official OpenRoboto champion snapshots of one season.
**Every commit is one champion**: an exact copy of that champion's full
checkpoint, taken from the source repository at the commit it was scored on.
Files from ... |
ewrwerwerer44/MyAwesomeModel-TestRepo | ewrwerwerer44 | 2026-10-17T12:25:33Z | 0 | 0 | transformers | [
"transformers",
"pytorch",
"bert",
"feature-extraction",
"license:mit",
"endpoints_compatible",
"region:us"
] | feature-extraction | 2026-10-17T12:25:27Z | ---
license: mit
library_name: transformers
---
# MyAwesomeModel
<!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable html -->
<!-- markdownlint-disable no-duplicate-header -->
<div align="center">
<img src="figures/fig1.png" width="60%" alt="MyAwesomeModel" />
</div>
<hr>
<div align="center" style... |
steampunque/GLM-4.5-Air-MP-GGUF | steampunque | 2026-10-18T13:26:12Z | 596 | 7 | null | [
"gguf",
"zai",
"GLM AIR",
"quantized",
"4-bit",
"text-generation",
"base_model:zai-org/GLM-4.5-Air",
"base_model:quantized:zai-org/GLM-4.5-Air",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-08-15T11:31:07Z | ---
base_model: zai-org/GLM-4.5-Air
base_model_relation: quantized
tags:
- zai
- GLM AIR
- quantized
- 4-bit
pipeline_tag: text-generation
---
## Mixed Precision GGUF layer quantization of GLM-4.5-Air by zai
Original model: https://huggingface.co/zai-org/GLM-4.5-Air
The hybrid quant employs different quantization le... |
caslca/quillfern-catalog | caslca | 2026-10-16T23:25:13Z | 0 | 0 | null | [
"region:us"
] | null | 2026-10-16T23:25:10Z | # quillfern-catalog
A signed catalog of pinned model revisions for a desktop application. `catalog.json` lists
repositories, revisions and file hashes; `catalog.json.sig` is an Ed25519 signature over the exact
bytes, verified by the application with its embedded public key. Nothing here is a model.
|
kotoshu/grammar-fr | kotoshu | 2026-10-17T04:14:57Z | 0 | 0 | onnx | [
"onnx",
"grammar-error-correction",
"gector",
"french",
"edge",
"fr",
"license:cc-by-nc-sa-4.0",
"region:us"
] | null | 2026-10-12T10:47:48Z | ---
license: cc-by-nc-sa-4.0
language:
- fr
library_name: onnx
tags:
- grammar-error-correction
- gector
- french
- edge
---
# kotoshu/grammar-fr v0.1.0
Fully local French grammar correction model for the **≤250 MB weight class**
(run anywhere, CPU real-time, no network).
- **Architecture**: GECToR-style t... |
Goddragon/Arbiter-4B | Goddragon | 2026-10-17T04:05:42Z | 0 | 1 | pytorch | [
"pytorch",
"safetensors",
"typed-decisions",
"lora",
"temperature-scaling",
"non-generative",
"text-classification",
"en",
"zh",
"dataset:LocalLLaMA/typed-decisions",
"base_model:TokenRhythm/NeoHorse-Jev-4B",
"base_model:finetune:TokenRhythm/NeoHorse-Jev-4B",
"license:apache-2.0",
"eval-re... | text-classification | 2026-10-15T10:14:13Z | ---
license: apache-2.0
language:
- en
- zh
base_model: TokenRhythm/NeoHorse-Jev-4B
base_model_relation: finetune
library_name: pytorch
pipeline_tag: text-classification
datasets:
- LocalLLaMA/typed-decisions
tags:
- typed-decisions
- lora
- temperature-scaling
- non-generative
---
# Arbiter-4B
**Arbite... |
mradermacher/Trida2.0-4B-GGUF | mradermacher | 2026-10-16T23:53:36Z | 595 | 0 | transformers | [
"transformers",
"gguf",
"block-diffusion",
"hybrid-diffusion",
"self-speculative-decoding",
"qwen3.5",
"en",
"base_model:trillionlabs/Trida2.0-4B",
"base_model:quantized:trillionlabs/Trida2.0-4B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-09-19T15:40:59Z | ---
base_model: trillionlabs/Trida2.0-4B
language:
- en
library_name: transformers
license: apache-2.0
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- block-diffusion
- hybrid-diffusion
- self-speculative-decoding
- qwen3.5
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised... |
Ayaka157/RetNet-0.5B | Ayaka157 | 2026-10-17T01:52:06Z | 228 | 0 | transformers | [
"transformers",
"safetensors",
"retnet_hf",
"text-generation",
"retnet",
"retention",
"linear-attention",
"from-scratch",
"custom_code",
"zh",
"en",
"license:mit",
"region:us"
] | text-generation | 2026-10-13T15:42:16Z | ---
license: mit
language:
- zh
- en
library_name: transformers
pipeline_tag: text-generation
tags:
- retnet
- retention
- linear-attention
- from-scratch
---
# RetNet-0.5B
A retentive network language model written from scratch, trained on a Chinese chat corpus.
This is epoch 3, the best of three trainin... |
toolathlon-eval-04/MyAwesomeModel-TestRepo | toolathlon-eval-04 | 2026-10-18T03:19:09Z | 70 | 0 | transformers | [
"transformers",
"pytorch",
"bert",
"feature-extraction",
"license:mit",
"endpoints_compatible",
"region:us"
] | feature-extraction | 2026-10-18T03:19:06Z | ---
license: mit
library_name: transformers
---
# MyAwesomeModel
<!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable html -->
<!-- markdownlint-disable no-duplicate-header -->
<div align="center">
<img src="figures/fig1.png" width="60%" alt="MyAwesomeModel" />
</div>
<hr>
<div align="center" style... |
npateman/fusewalk-models | npateman | 2026-10-16T16:11:03Z | 793 | 1 | null | [
"gguf",
"fusewalk",
"base_model:Qwen/Qwen3-0.6B",
"base_model:quantized:Qwen/Qwen3-0.6B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-10-14T15:39:05Z | ---
license: apache-2.0
tags:
- gguf
- fusewalk
base_model:
- Qwen/Qwen3-0.6B
- Qwen/Qwen3-1.7B
- Qwen/Qwen3.5-4B
---
# Fusewalk models
Fine-tuned models for Fusewalk, a crafting game: give a model two items and it answers what they make.
Each model is a 4-bit (Q4_K_M) GGUF for llama.cpp. [`index.json`](index.json) ... |
mradermacher/Qwen3-14B-CreativeWrite-Merge-GGUF | mradermacher | 2026-10-16T22:48:14Z | 103 | 0 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"base_model:Disya/Qwen3-14B-CreativeWrite-Merge",
"base_model:quantized:Disya/Qwen3-14B-CreativeWrite-Merge",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-07-25T19:32:56Z | ---
base_model: Disya/Qwen3-14B-CreativeWrite-Merge
language:
- en
library_name: transformers
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- mergekit
- merge
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<... |
open-athena/Snowball-67B-A2B-Merge-TIES-d0.5 | open-athena | 2026-10-17T05:32:28Z | 20 | 0 | null | [
"safetensors",
"grug_moe",
"marin",
"snowball",
"distillation",
"base_model:open-athena/Snowball-67B-A2B-10T-Mixed-RLVR-Sync-Step92",
"base_model:finetune:open-athena/Snowball-67B-A2B-10T-Mixed-RLVR-Sync-Step92",
"license:apache-2.0",
"region:us"
] | null | 2026-10-14T00:25:25Z | ---
license: apache-2.0
base_model: open-athena/Snowball-67B-A2B-10T-Mixed-RLVR-Sync-Step92
tags:
- marin
- snowball
- distillation
---
# Snowball TIES merge of B, E and E₂ (density 0.5)
Weight merge from the two-expert experiment: TIES merging (density 0.5, a = b = 1.0) of experts E and E₂ onto anchor B, built with ... |
csminion/apex-qwen36-asi | csminion | 2026-10-16T18:39:43Z | 13 | 0 | peft | [
"peft",
"safetensors",
"lora",
"qwen3_5_moe",
"research",
"asi",
"image-text-to-text",
"base_model:Qwen/Qwen3.6-35B-A3B",
"base_model:adapter:Qwen/Qwen3.6-35B-A3B",
"license:other",
"region:us"
] | image-text-to-text | 2026-10-16T18:39:14Z | ---
library_name: peft
license: other
license_name: apache-2.0-adapter-contributions-plus-upstream-notices
license_link: LICENSE
base_model: Qwen/Qwen3.6-35B-A3B
base_model_relation: adapter
pipeline_tag: image-text-to-text
tags:
- lora
- qwen3_5_moe
- research
- asi
---
# APEX Scientific Python r16
A scientific-Pyth... |
Gkea/kinyarwanda-sentiment-afroxlmr-large | Gkea | 2026-10-16T21:01:29Z | 12 | 0 | null | [
"safetensors",
"xlm-roberta",
"text-classification",
"rw",
"dataset:shmuhammad/AfriSenti-twitter-sentiment",
"base_model:Davlan/afro-xlmr-large",
"base_model:finetune:Davlan/afro-xlmr-large",
"license:cc-by-4.0",
"region:us"
] | text-classification | 2026-10-13T20:21:56Z | ---
language: rw
license: cc-by-4.0
base_model: Davlan/afro-xlmr-large
datasets:
- shmuhammad/AfriSenti-twitter-sentiment
metrics:
- f1
pipeline_tag: text-classification
---
# Kinyarwanda tweet sentiment (AfroXLMR-large)
Davlan/afro-xlmr-large fine-tuned for three-way sentiment classification (positive, neutral, nega... |
MaxwellBoo/EDAN20_assignment_6 | MaxwellBoo | 2026-10-16T18:10:22Z | 0 | 0 | null | [
"region:us"
] | null | 2026-10-13T23:01:03Z | ---
title: Pico Translator
emoji: 🐢
sdk: gradio
sdk_version: 5.44.1
app_file: app.py
pinned: false
short_description: Experimental Chinese-English translator
--- |
SushmaMaddali/data266-pokemon-sd15-full-unet | SushmaMaddali | 2026-10-17T02:18:28Z | 6 | 0 | diffusers | [
"diffusers",
"safetensors",
"stable-diffusion",
"full-fine-tuning",
"unet",
"pokemon",
"data266",
"text-to-image",
"base_model:stable-diffusion-v1-5/stable-diffusion-v1-5",
"base_model:finetune:stable-diffusion-v1-5/stable-diffusion-v1-5",
"license:other",
"endpoints_compatible",
"diffusers:... | text-to-image | 2026-10-17T02:17:35Z | ---
base_model: stable-diffusion-v1-5/stable-diffusion-v1-5
pipeline_tag: text-to-image
library_name: diffusers
license: other
tags:
- stable-diffusion
- full-fine-tuning
- unet
- pokemon
- data266
---
# Pokémon Stable Diffusion 1.5 - Full UNet Fine-Tuning
This repository contains the final UNet weights from full fin... |
SkyIsNotGreen/Scion-35B-A3B | SkyIsNotGreen | 2026-10-16T22:28:59Z | 7,079 | 12 | llama.cpp | [
"llama.cpp",
"gguf",
"ternary",
"2-bit",
"pq2_0",
"llama-cpp",
"moe",
"qwen3.8",
"quantized",
"scion",
"speculative-decoding",
"draft-model",
"mtp",
"text-generation",
"en",
"base_model:empero-ai/Qwen3.8-35B-A3B-Distill",
"base_model:quantized:empero-ai/Qwen3.8-35B-A3B-Distill",
"l... | text-generation | 2026-09-27T19:57:48Z | ---
library_name: llama.cpp
model_name: Scion-35B-A3B
base_model: empero-ai/Qwen3.8-35B-A3B-Distill
base_model_relation: quantized
license: apache-2.0
language:
- en
pipeline_tag: text-generation
tags:
- ternary
- 2-bit
- pq2_0
- gguf
- llama-cpp
- moe
- qwen3.8
- quantized
- scion
- speculative-decoding
- draft-model
... |
Khan4455/MiniMax-H3-Person-Remover-LoRA | Khan4455 | 2026-10-16T20:55:06Z | 0 | 0 | diffusion-single-file | [
"diffusion-single-file",
"minimax-h3",
"ref2va",
"lora",
"person-removal",
"video-editing",
"comfyui",
"ai-toolkit",
"video-to-video",
"en",
"dataset:akatz-ai/H3-Person-Remover-v1",
"base_model:Comfy-Org/MiniMax-H3",
"base_model:adapter:Comfy-Org/MiniMax-H3",
"license:other",
"region:us"... | video-to-video | 2026-10-16T20:55:06Z | ---
language:
- en
license: other
license_name: minimax-h3-community-license-agreement
license_link: LICENSE
base_model: Comfy-Org/MiniMax-H3
base_model_relation: adapter
pipeline_tag: video-to-video
library_name: diffusion-single-file
datasets:
- akatz-ai/H3-Person-Remover-v1
tags:
- minimax-h3
- ref2va
- lora
- perso... |
arvindcr4/pavlov-xlam-smoke-seed809-v3-lr1-seed809-step10-tinker-7aa9c934-0176-520-e160ecdecbcd | arvindcr4 | 2026-10-16T15:03:40Z | 0 | 0 | peft | [
"peft",
"lora",
"reinforcement-learning",
"grpo",
"tinker",
"tool-use",
"text-generation",
"base_model:Qwen/Qwen3.6-35B-A3B",
"base_model:adapter:Qwen/Qwen3.6-35B-A3B",
"license:apache-2.0",
"region:us"
] | text-generation | 2026-08-09T06:05:09Z | ---
license: apache-2.0
base_model: Qwen/Qwen3.6-35B-A3B
library_name: peft
pipeline_tag: text-generation
tags:
- peft
- lora
- reinforcement-learning
- grpo
- tinker
- tool-use
---
# Pavlov Qwen3.6-35B-A3B LoRA, seed 809, step 10
xLAM tool-calling GRPO smoke test v3 (10 steps, lr 1e-5, G=4, batch 2, max 128 response... |
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